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== internet marketing consultant ==
Data Architect, Data Hobbyist, and Data Scientist


A subscriber list marketing marketing consultant works together with providers to develop in addition to employ marketing and advertising practices. A lot of these techniques are usually focused on the actual heart of your organization and what exactly products and services they offer. Any advisor facilitates create a specific marketing program, identify this internet marketing message, <span class="plainlinks">[http://www.allaccentpillows.com/ <span style="color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;/*CITATION*/">internet marketing consultant</span>]</span> plus identify the perfect marketing and advertising incorporate to get the sales message available. They will and then keep to the strategy through, together with function to execute along with employ a marketing strategy. They can keep track of results, modify as important and ensure which the businesses provides the best results using their company marketing endeavors.
This is the super long version with EVERYTHING on it.


An advertising and marketing advisor shall be expert as well as educated in buyer conduct plus promoting approach. This can include having the option to recognize adidas and puma audience as well as posture their product or service offering in ways that may attention clients to make these people are interested to buy.
e-mail:  chip@chiplynch.com


I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers.  I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.




A great internet marketing advisor will be able to but not only assume creatively nevertheless analytically. They ought to be able to not merely be inventive, nevertheless in order to achieve is a result of that will imagination. Marketing consultants normally concentrate on distinct areas around marketing and advertising just like:
Clearance: DoD Top-secret (expired 2010)


Publications:
*"[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]" - International Journal of Medical Informatics (74 Citations)
* "[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]" - Metabolomics (2 Citations)
*"[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]" - PubMed / PlosOne (14 Citations)


Certifications (recent only):
*[https://spnbadges.snowflake.com/07ae5b85-6e16-4b32-bf69-2ca31a98e41a Snowflake Technical Sales Pro]


Internet promotion
Experience:<br>


Copy writing


Strong Email
[https://revealhealthtech.com/ Reveal HealthTech], US (Remote)
Director, AI Software Engineering (Mar. 2024 [Acquisition] - Present)
*Led the migration of a 15 person engineering team through a startup acquisition
*Focused on building engineering culture, excellence, and repeatable high value services delivery


Promotion experts regularly go his or her enterprises as well as get the job done for yourself or simply in your marketing team. They may be qualified during promotion, business, marketing communications together with therapy.




[https://www.manifold.ai/ Manifold AI], US (Remote)
Director, AI Solutions Labs (Mar. 2021 - Mar. 2024)
*Moved a 40-person AI startup through a growth period doubling our size before splitting into two entities
*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits
*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices
*Architected and led teams, and built software incorporating data engineering and machine learning techniques for a variety of clients and use cases:
**Built a PubMed database AI/LLM Based search tool to accelerate focused research
**Worked with [https://www.broadinstitute.org/ The Broad Institute] on a Petabyte life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data
**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company [https://www.cisco.com/ Cisco]
**Enginnered data management and feature engineering for for analysis and nanosecond scale machine learning feedback for [https://www.apple.com/ Apple's] $3.5B clickstream ad pipeline
**Custom NLP Application for analytics of all natural language data coming into [https://www.gene.com/ Genetech/Roche Pharmaceuticals] : AI/RAG Chat and LLM Text Summarization, Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds
**Growing our in-house "Science Cloud" application for research organizations (such as ACS and IU) to manage and analyze data.  Integrated NextFlow into our AWS architecture and helped integrate many ML, AI, and LLM models into our "App Store".
*Personally responsible for "No Meeting Thursdays" for focused work (which is really popular) and "Tie Dye Fridays" (which will really catch on some day, I'm sure)


Secrets to any high-impact marketing and advertising plan is to help optimize your own limited spending budget. The one-time airwaves advert overwhelm, smooth catalog, or perhaps flash-enabled internet site will begin to deteriorate the cost together with derail your promoting plans. Apply low-budget promoting to have your current meaning seem to your visitors fairly often, and watch sales sales increase.


[https://www.spacex.com/ Space Exploration Technologies (SpaceX)] Hawthorne, CA
Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)
*Led the "Build and Launch" DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system
*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end
**Integrated hardware simulations and scripted tests with live and recorded telemetry
**Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments
**Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure
**Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing
*Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo
**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data
*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time
**Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection
*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability
*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP
**Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds
*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision
**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues
**Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks
*Maintained the Operating Plan - predictive data set for headcount/resource management planning
*Provided data analysis to reduce scrap costing over $150M
*Designed and implemented metrics/kpi architecture from root code to C-suite dashboards
*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations
* A few personally exciting things:
** I may have been the first person to commit "Starship" to code non-ironically
** The first time I got to write code that used the speed of light in a real-world meaningful way
** Got to use Quaternions for something practical (it's used to calculate optimal rotations for, hypothetically, pointing lasers at things)
** Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)
** Maintained a "Bug of the Month" page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket
** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application
* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)




There are plenty of main reasons why a good low-budget marketing and advertising plan's extremely important to get small enterprise in the present marketing full society:
Passport Health Plan Louisville, KY
Data Architect (October 2012 - 2015 & 2017 - Feb. 2018)
*Designed analytical algorithms to enable geospatial reporting on patient coverage
*Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people
*Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch
*Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects
*Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design
*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard
*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting




Farm Credit Mid America Louisville, KY
Data Architect (Jan 2015 - Jan 2017)
*Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee
*Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics
*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business
*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint


High-priced offer exposure will not actually change in order to greater revenue. Only check with Excellent Dish marketer Pet.org, whose sock puppet industrial would be a attack along with individuals, but remaining the business down and out. Every last advertising and marketing bill used up must build a very good go back around sales and profits.


The goal customers really need to notice an individual's marketing and advertising announcements at least Several situations that will have an impact on a good buying decision. Using marketing and advertising & gross sales tactics outdoors your finances, would not enable you to perform repeatedly your current sales message typically enough to make a positive change.
Wright Patterson Air Force Base Dayton, OH
Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)<br>
* Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems
* Designed and implemented machine learning algorithms to improve data quality and value of supply chain data
* Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.
* Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.
* Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.
* Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.
* Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.
* Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.
* Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.
* Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)
* Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.
* Personal highlights:
** Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported [https://www.reuters.com/article/us-usa-nuclear-taiwan/u-s-mistakenly-sent-nuclear-missile-fuses-to-taiwan-idUSN2538598920080325 material missing] and [https://en.wikipedia.org/wiki/2007_United_States_Air_Force_nuclear_weapons_incident transported] in [https://www.airforcetimes.com/news/your-air-force/2019/06/25/you-can-call-2007-nuke-mishandling-an-embarrassment-but-dont-call-it-the-minot-incident/ violation] of procedure
** Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)
** Coming up with a 7-level data quality framework that I still use
** Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)
** Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems
** Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines
** Working on integrated tool systems which are air dropped into forward locations.  Data latency measured in months is fun.
** (Attempting to) catalog every data system within the USAF
** Seeing national news articles about our work - ([https://spectrum.ieee.org/riskfactor/aerospace/military/the-us-air-force-explains-its-billion-ecss-bonfire mostly positive,some negative] coverage of our work)


Promoting effects is usually drastically better by using various marketing and advertising programmes. Prospects will more than likely come to be buyers when they: read about your small business in the newspapers, attend a course, gather a catalog, in addition to visit your online business site. The actual even further you'll be able to "stretch ones advertising and marketing dollars" to arrive at your current market you work in during a number of programs, the higher the effects of the internet marketing meaning.


Low-Budget High-Impact Promoting Approach Solutions


Cincinnati Financial Corp. Cincinnati, OH
Data Warehouse Consultant with Deloitte (Jan-Feb 2010)
* Provided third party evaluation of a nascent EDW implementation plan.  Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.
* Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims


FirstEnergy Corp. Akron, OH,
Data Migration Contractor (2002-2003)
* Supplied technical expertise and programming support for a large scale SAP R/3 migration using  Informatica, Oracle, and SAP/ABAP tools.
* Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.


Obtain a Piggyback: Hitching a cruise within the advertising and marketing of another provider will save your small business some time to capital. When personal pc reseller company, Pc Return, wanted solutions to accomplish amount conscious individuals with a cheap, the organization put into practice Wal-Mart availabilities. Wal-Mart`s significant spending budget advertising and marketing department will meticulously select the brand new keep openings in accordance with demographics as well as other high priced study. Online Trade opened outlets near Wal-Mart conserving real-estate choice expenses together with piggy support about Wal-Mart`s marketing plan.
US Postal Service Raleigh, NC,
Data Warehouse Contractor (2002)
* Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.
* Primary responsibility was on increasing performance on very large data loads to the warehouse. For example I reduced the running time for some loads from 80+ hours down to 4 hours.




Clients with KPMG Consulting Washington, DC,
Senior Consultant (1998- 2002)


Find the proper Concentrate on: A significant section of the promotion plan's great for people proper buyer. For a low-budget high-impact marketing plan to deliver the results, discover customers who will be very easy to discover together with cost effective to arrive at.
City and County of San Francisco (2000- 2001)
* Designed and implemented a terabyte scale data warehouse for the City.
* Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning. Also administered large Windows NT and HP-UX servers.
* Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.
* Developed end user training, documentation, and robust testing/validation procedures.


National Aeronautics and Space Administration (NASA) (1999-2000)
* Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.
* Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models.  Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW.  Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client's specifications.
* Fun to see national news coverage [https://www.hpcwire.com/1998/06/05/kpmg-provide-seagate-bi-tools-nasa/ of our work]


Performance Executive (various clients)
* Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems.  I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product's creation, testing, and marketing.  Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation.  The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.


Forget about the store bought and opt for smaller niches. For example, area, huge certain breed dog followers can be reached by way of organizations, special exhibits, as well as aimed journals. Hitting every dog owner shall be unproductive thanks to minimal visibility along with increased costs of marketing with huge books.
US Senate, Washington, DC (Fall, 1999)


City of Ottawa, Canada (as needed 2000)


Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)


Get yourself Reports Acceptable: A good mention of your business in the suitable media channels may also help deliver a person's promotion sales message inside of a low price approach. My plumbing company provides overcome light beer self-promotion. If a son's or daughter's red-colored lorry had been stolen, "Pete The actual Plumber" turned up in their Super-Hero displayed lorry to have a completely new chariot for the child. Rrt had been a good deed; contributing to plenty of media talk.
Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)


Oakland County, Michigan (Sept. 2001-Feb. 2002)




Variety some pot Venture: Synovial endeavors are far too strong designed for independent business to disregard. Developing an connections which has a selection of small corporations or a sizeable enterprise can provide your marketing and advertising program the final "bang for any dollar." A joint opportunity is going to reduce rates, helping you to enter new markets and build completely new supply choices.


Other Work Experience:<br>


Xavier University Cincinnati, Ohio
WebMaster/Programmer/Analyst (Fall 1993 - March 1998)


Capitalize on Referrals: Probably the most cost-effective means of reaching potential customers is actually by recommendations from content consumers. The completely satisfied prospect revealing to other people concerning your enterprise is more effective as compared to every fancy advertisement campaign. Spend an afternoon to receive purchaser contacts weekly.
Farwell and Hendricks Cincinnati, Ohio
Senior Thesis Project
Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices.   The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current. Neat stuff!




Education
Xavier University, Cincinnati, Ohio
* Bachelor of Science in Mathematics and Computer Science
University of Louisville, Louisville, KY
* Graduate Certificate in Data Mining
* Currently pursuing PhD of Computer Science in Data Mining


These are merely some of lots of methods and techniques used by online business to develop a high-impact promoting look forward to some sort of low-budget. Marketing and advertising being successful emanates from inventiveness; certainly not from obtaining the greatest funds
 
Extensive Experience With
* R and Python
* Stash, Git
* Microsoft SQL Server
* Informatica PowerCenter
* Tableau, Cognos, and Business Objects Business Intelligence Products
* MySQL, Oracle and Teradata Database Products and SQL
* ErWin Data Modeling Tool
* Windows Server, Linux and Unix (Various) Operating Systems
* Apache, PHP, HTML, TCP/IP, Other Internet Technologies
 
Working Knowledge of
* Jira, Bamboo, Jenkins
* Microstrategy, Brio, Holos, Crystal Reports
* Apple Macintosh OS, OpenVMS
* Microsoft IIS, C#
* SAP R/3: ABAP and HR InfoTypes
* DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go
* PGP, Numerical Cryptographic Theory, System Security
* Numerous other software packages, feel free to ask
* Sun, Hewlett-Packard, and IBM Hardware
* MelissaData Geocoding and Fuzzy Matching SSIS Packages
 
Other Relevant Experience
* Oracle Unified Methodology Level 3 Certification
* SEI/CMMI project lifecycle management standards
* DAMA DMBOK and ITIL Practices
* Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others
* Department of Defense Architecture Framework (DoDAF)
* Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition
* Completed Coursera's May 2013 Data Mining class "with Distinction"
* Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/
* Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday

Latest revision as of 14:28, 5 June 2024

Data Architect, Data Hobbyist, and Data Scientist

This is the super long version with EVERYTHING on it.

e-mail: chip@chiplynch.com

I am a data scientist, architect, and artist with expertise in the design, implementation, and maintenance of enterprise-scale business intelligence, data mining, data quality, and data migration projects. I have led teams of people through every phase of Enterprise Data Management, and I bring experience from high profile, large-scale clients such as NASA, SpaceX, the US Air Force and the US Senate. I have experience with the program management and development lifecycle standards required to run organized, repeatable, and successful data warehousing projects. I have personally designed data models, coded extract-transform-load (ETL) processes, built reporting architectures, and administered databases and application servers. I have matriculated into planning, architecting, and managing teams performing these tasks on increasingly large and complex systems.


Clearance: DoD Top-secret (expired 2010)

Publications:

Certifications (recent only):

Experience:


Reveal HealthTech, US (Remote) Director, AI Software Engineering (Mar. 2024 [Acquisition] - Present)

  • Led the migration of a 15 person engineering team through a startup acquisition
  • Focused on building engineering culture, excellence, and repeatable high value services delivery


Manifold AI, US (Remote) Director, AI Solutions Labs (Mar. 2021 - Mar. 2024)

  • Moved a 40-person AI startup through a growth period doubling our size before splitting into two entities
  • Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits
  • Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices
  • Architected and led teams, and built software incorporating data engineering and machine learning techniques for a variety of clients and use cases:
    • Built a PubMed database AI/LLM Based search tool to accelerate focused research
    • Worked with The Broad Institute on a Petabyte life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data
    • Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company Cisco
    • Enginnered data management and feature engineering for for analysis and nanosecond scale machine learning feedback for Apple's $3.5B clickstream ad pipeline
    • Custom NLP Application for analytics of all natural language data coming into Genetech/Roche Pharmaceuticals : AI/RAG Chat and LLM Text Summarization, Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds
    • Growing our in-house "Science Cloud" application for research organizations (such as ACS and IU) to manage and analyze data. Integrated NextFlow into our AWS architecture and helped integrate many ML, AI, and LLM models into our "App Store".
  • Personally responsible for "No Meeting Thursdays" for focused work (which is really popular) and "Tie Dye Fridays" (which will really catch on some day, I'm sure)


Space Exploration Technologies (SpaceX) Hawthorne, CA Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)

  • Led the "Build and Launch" DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system
  • Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end
    • Integrated hardware simulations and scripted tests with live and recorded telemetry
    • Implemented standalone dockerized versions for Windows and Linux for offsite, offshore, and classified deployments
    • Established circular integration tests with our rocket testing process to ensure development was not hindered by rapid changes to the testing infrastructure
    • Worked with the Python development team to patch bugs we uncovered from pushing Python to its limits in scientific cross platform parallel computing
  • Programmed a distributed redundant telemetry system (Borg) in Go and Python, leveraging postgresql, Ansible, Vagrant and Bamboo
    • This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data
  • Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time
    • Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection
  • Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability
  • Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP
    • Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds
  • Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision
    • Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues
    • Implemented architecture for Python/Flask/Database production predictive analytics and machine learning tasks
  • Maintained the Operating Plan - predictive data set for headcount/resource management planning
  • Provided data analysis to reduce scrap costing over $150M
  • Designed and implemented metrics/kpi architecture from root code to C-suite dashboards
  • Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations
  • A few personally exciting things:
    • I may have been the first person to commit "Starship" to code non-ironically
    • The first time I got to write code that used the speed of light in a real-world meaningful way
    • Got to use Quaternions for something practical (it's used to calculate optimal rotations for, hypothetically, pointing lasers at things)
    • Worked directly with astronauts as a test/simulation dev/ops - (the Astronaut sims ran on our software)
    • Maintained a "Bug of the Month" page with some crazy bugs - I drove an investigation that found corrupt TCP packets due to a short-lived linux kernel bug which made certain versions of linux unusable on the rocket
    • Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application
  • Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)


Passport Health Plan Louisville, KY Data Architect (October 2012 - 2015 & 2017 - Feb. 2018)

  • Designed analytical algorithms to enable geospatial reporting on patient coverage
  • Established a new data warehouse from the ground up for a Medicare health care management company of ~250 people
  • Built training materials, project plan, data models, design patterns, coding standards, physical architecture and infrastructure and all relevant documentation for a completely new data warehouse from scratch
  • Quickly implemented Data Quality and Data Dictionary systems through designs pioneered through my previous projects
  • Integrated sources from COTS health care, call center, IT management, and other systems into an integrated data warehouse following a Kimball-compliant star schema design
  • Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard
  • Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting


Farm Credit Mid America Louisville, KY Data Architect (Jan 2015 - Jan 2017)

  • Led a very small team to build a new data warehouse from scratch, designing policy, procedures, and establishing a VP-Level governing steering committee
  • Coordinated predictive analytics capabilities for credit scoring, loan value, collateral valuation and other metrics
  • Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business
  • Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint


Wright Patterson Air Force Base Dayton, OH Data Architect and Contractor with Deloitte (1998-2000, 2003-2012)

  • Performed systems and network analysis, visualizations, and requirements planning for an IT assessment and Roadmap of AF Global Logistics Supply Chain (GLSC) owned and managed systems
  • Designed and implemented machine learning algorithms to improve data quality and value of supply chain data
  • Team manager for a staff of 24 people, in a leadership role on a team of 40+ members of a Data Quality initiative as part of a 150+ person ERP team.
  • Provided data management, quality, governance, and oversight to for hundreds of logistics and financial systems with the new policies, procedures, and data requirements introduced by the USAF’s Oracle ERP installation – one of the largest Oracle implementations in the world, managing a $36 billion inventory and related supply chain.
  • Responsible for the Data Management Organization’s Master Data Management component, including the technical management of various lists of values, building of a data dictionary, and integration with the enterprise data modeling efforts.
  • Created an IT strategy and roadmap for the Air Force’s Global Logistics Support Center focusing on Data Management, Systems, Maintenance and Governance.
  • Led a team to create a Business Intelligence strategy for the Air Force ERP system. The design stretches from high level governance and policy issues to technical Business Intelligence architecture and enterprise warehouse design.
  • Performed as the technical team lead for a development team which integrated over 50 source systems and data marts into a large data warehouse. Ultimately we were responsible for integrating maintenance, supply, logistics data, and systems tracking specific assets into the Air Force Enterprise Data Warehouse.
  • Built standards and repeatable CMMI processes for every aspect of Data Warehouse management, including modeling and loading new source data, data mart processing, report specification and building, ongoing maintenance, and pretty much everything in between.
  • Setup an early adoption of MQ Series and Oracle AQ for site-to-site communications (supporting RAMPOD)
  • Technical demands included Oracle, WebSphere MQ, Business Objects, Cognos, Informatica, SharePoint, MediaWiki, and Teradata support, design, and development in a closely integrated environment.
  • Personal highlights:
    • Briefing 2-star generals on Nuclear Weapon Related Materials (NWRM); directly supported NWRM investigations when the news media reported material missing and transported in violation of procedure
    • Working on CINC-57 ... a list of very high level readiness questions to support the Commander-In-Chief (the President)
    • Coming up with a 7-level data quality framework that I still use
    • Implementing very early machine learning as early as the 1990s - including a Bayesian tool to predict and clean work order codes (work unit codes/WUCs)
    • Working with F-35 and F-22 logistics and maintenance as they were introduced to the fleet and in testing to ensure smooth interaction with enterprise data systems
    • Working with AWACS in the mile-long building in Oklahoma City; improving efficiency on the manufacturing lines
    • Working on integrated tool systems which are air dropped into forward locations. Data latency measured in months is fun.
    • (Attempting to) catalog every data system within the USAF
    • Seeing national news articles about our work - (mostly positive,some negative coverage of our work)


Cincinnati Financial Corp. Cincinnati, OH Data Warehouse Consultant with Deloitte (Jan-Feb 2010)

  • Provided third party evaluation of a nascent EDW implementation plan. Helped drive Enterprise Service Bus (ESB) adoption and identified solutions to project implementation roadblocks.
  • Consulted on a data science sandbox design to improve valuation estimates from automobile accident insurance claims

FirstEnergy Corp. Akron, OH, Data Migration Contractor (2002-2003)

  • Supplied technical expertise and programming support for a large scale SAP R/3 migration using Informatica, Oracle, and SAP/ABAP tools.
  • Worked closely with both a functional and technical team to design, develop, test, and deploy a migration mechanism for Human Resources data.

US Postal Service Raleigh, NC, Data Warehouse Contractor (2002)

  • Provide Informatica and data warehousing expertise for the USPS very large data warehouse initiative.
  • Primary responsibility was on increasing performance on very large data loads to the warehouse. For example I reduced the running time for some loads from 80+ hours down to 4 hours.


Clients with KPMG Consulting Washington, DC, Senior Consultant (1998- 2002)

City and County of San Francisco (2000- 2001)

  • Designed and implemented a terabyte scale data warehouse for the City.
  • Responsible daily for Oracle tuning and database administration (DBA) work, Informatica and Cognos design, development, and performance tuning. Also administered large Windows NT and HP-UX servers.
  • Marketed the warehouse to senior department heads, eventually creating departmental data marts and a distributed Oracle environment.
  • Developed end user training, documentation, and robust testing/validation procedures.

National Aeronautics and Space Administration (NASA) (1999-2000)

  • Lead technical expert on a team that designed and developed an enterprise-wide data warehouse (EDW) for NASA. Duties included researching, specifying, purchasing and administering $1.5 million of Sun hardware running the Solaris operating system.
  • Involved in the entire lifecycle of this EDW. Met with scores of functional people from across the country to develop logical and physical data models. Led a small team in the Informatica development for data transformation and cleansing from disparate source systems to the Oracle EDW. Worked with the Holos OLAP package and Crystal Reports and Brio ad-hoc query tools to deliver a web-based reporting solution to the client's specifications.
  • Fun to see national news coverage of our work

Performance Executive (various clients)

  • Performance Executive was a packaged data warehouse that we marketed to clients of our proprietary accounting systems. I was one of several technical resources on the project throughout my tenure at KPMG, and I was involved with every aspect of the product's creation, testing, and marketing. Primarily the product was back-ended in Oracle 7,8, or 8i, and Microsoft SQL Server, with an Informatica engine for data cleansing and transformation. The front-end tool of choice was Cognos Impromptu and PowerPlay, although some clients used Business Objects, Brio, Microstrategy and Crystal reports.

US Senate, Washington, DC (Fall, 1999)

City of Ottawa, Canada (as needed 2000)

Dahlgren Naval Base, Dahlgren, VA (as needed, 1999-2000)

Wright Patterson Air Force Base, Dayton, OH (Summer, 1998)

Oakland County, Michigan (Sept. 2001-Feb. 2002)


Other Work Experience:

Xavier University Cincinnati, Ohio WebMaster/Programmer/Analyst (Fall 1993 - March 1998)

Farwell and Hendricks Cincinnati, Ohio Senior Thesis Project Worked on thesis project with Farwell and Hendricks to develop a Windows 95 program to collect and analyze data for electronic devices. The program collected 5,000-10,000 samples/second from hardware placed on an earthquake simulator, displayed graphs, and analyzed results to determine instabilities in electric current. Neat stuff!


Education Xavier University, Cincinnati, Ohio

  • Bachelor of Science in Mathematics and Computer Science

University of Louisville, Louisville, KY

  • Graduate Certificate in Data Mining
  • Currently pursuing PhD of Computer Science in Data Mining


Extensive Experience With

  • R and Python
  • Stash, Git
  • Microsoft SQL Server
  • Informatica PowerCenter
  • Tableau, Cognos, and Business Objects Business Intelligence Products
  • MySQL, Oracle and Teradata Database Products and SQL
  • ErWin Data Modeling Tool
  • Windows Server, Linux and Unix (Various) Operating Systems
  • Apache, PHP, HTML, TCP/IP, Other Internet Technologies

Working Knowledge of

  • Jira, Bamboo, Jenkins
  • Microstrategy, Brio, Holos, Crystal Reports
  • Apple Macintosh OS, OpenVMS
  • Microsoft IIS, C#
  • SAP R/3: ABAP and HR InfoTypes
  • DCL, Pascal, C, C++, Visual Basic, C#/.Net, SQL, Go
  • PGP, Numerical Cryptographic Theory, System Security
  • Numerous other software packages, feel free to ask
  • Sun, Hewlett-Packard, and IBM Hardware
  • MelissaData Geocoding and Fuzzy Matching SSIS Packages

Other Relevant Experience

  • Oracle Unified Methodology Level 3 Certification
  • SEI/CMMI project lifecycle management standards
  • DAMA DMBOK and ITIL Practices
  • Medical Coding including ICD-9, ICD-10, CPT, DRG, BETOS, HCPCS, and others
  • Department of Defense Architecture Framework (DoDAF)
  • Top 1% ranking in Kaggle and top 5% finisher in their $3Million Heritage Health Prize Data Mining Competition
  • Completed Coursera's May 2013 Data Mining class "with Distinction"
  • Maintain websites for http://heartsforkenya.com/, and http://daytonartists.org/
  • Guest lecturer at Software Guild, Louisville Makes Games, Louisville Data Science Interest Group, and Microsoft SQL Saturday
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