Jun 2022 – Oct 2023 · 1 yr 4 mos

• Advising on developer relations, content, and product. Pandas for enterprise!

Jul 2019 – May 2021 · 1 yr 10 mos

• Author of practical XGBoost course and Python Numeric Tower course.

May 2019 – Present · 6 yrs 10 mos

• Develop and deliver content for Exploratory Data Analysis course with Python for continuing education.

Jan 2019 – Sep 2020 · 1 yr 8 mos

• Develop and deliver material for Python and Data Science certification

Sep 2017 – May 2023 · 5 yrs 8 mos

• Create and deliver courses in Python, pytest, pandas, machine learning (clustering, classification, regression, pca), and visualization (Seaborn).

Jul 2017 – Nov 2017 · 4 mos · Utah

• Automated company's monthly financial reporting. Ported unwieldy Excel sheet to Python solution. Implemented a predictive model for underwriting to cut delinquency. Forecasted 2018 projections by sales regions. Created tooling to predict open and future vintage performance.

Jun 2015 – Jun 2017 · 2 yrs · Utah

• Used AI to create a complete, personalized itinerary based on your preferences in seconds. Implemented mobile app as well as backend that will plan an arbitrary door-to-door trip to any US destination. Would plan airfare, ground transportation, and lodging based on brand preferences, time sensitivity, or cost.
• Python, React Native, Django, AWS Lambda, SOAP!?, asyncio, Docker, Clojure, ES6.

Mar 2014 – Present · 12 yrs · Utah (+Remote)

• Customized Python and Data Science training. Courses bring students up to speed in Beginning Python, Advanced Python, Visualization, Pandas, Polars, Machine Learning (Scikit-Learn, XGBoost, UMAP), Testing, Jupyter Notebook, and Python Packaging, and more. Taught at small companies, universities, and large companies (Adobe, HP, Cisco, Samsung, and more).
• Predictive modeling to classify job posting industry based on job description.
• Created a predictive model to determine pricing and time on market for automobiles.
• Created an NLP model to cluster similar documents and view changes in topics over time.
• Created an automated custom reporting to provide customer service reps to have insight into customer, their needs, and how they fall relative to other customers in their category. Used to nip churn and find out how the best of breed are using product. Temporal predictive model for churn. Allows interaction with user while they are still engaged with product. Survival analysis of product churn. Modeling complexity using clustering of features, used to determine how to adopt and change input to be more effective. Worked in conjunction with other researchers to pull and munge data.
• Analysis of product usage: crawling data, ETL, exploratory analysis, visualization, and summaries using iPython Notebook, Pandas, SciKit-Learn (PCA, Random Forests, Decision Trees, KMeans Clustering, Hierarchical Clustering), survival analysis.
• Web application for video subscription service. Python, JavaScript, AWS, Postgres, Nginx, Django, S3, Stripe.
• Developed web application for CRE marketplace. Python, JavaScript, Angular, Docker, REST, Postgres, AWS, Django, Nginx, S3, requests, Sendgrid, Zendesk, Digital Ocean. (Sep 2016-Jan 2017)
• Architecting scalable distributed systems on AWS and Docker. Logic in Clojure and Python.
• Review of online content for Python courses for online High School.
• Other projects include. Investigation into porting effort of legacy code to Python.

Jan 2011 – Feb 2014 · 3 yrs 1 mo

• Python development and data analysis of product yields, failure analysis and statistical process control. Results effectively doubled throughput of multi-million dollar production line. Data Science with pandas, matplotlib, mondrian, pygrametl, postgres, etc.
• Responsible for improving quality of code by isolating hardware, implementing coverage (went from sub 50% to 90+%), fast unittests, continuous integration, and refactoring on top. LOC went down while quality went up. Ad-hoc analysis of manufacturing, testing, and software products. Temperature by chassis, failure rate by firmware, failure rate by slot, process flow, survival analysis, etc.
• Organized and ran Python corporate training for Beginning Python, Intermediate Python, Matplotlib, and Pandas.
• Feedback included "Matt is highly respected by his peers. His leadership toward quality software development practices and code quality are extremely high-value to the team."

Mar 2007 – Jan 2011 · 3 yrs 10 mos

• Increased per store revenue by over $.5mil anually (they had many stores). Developed complete BI suite (etl/olap engine/ajax frontend/excel reports) customized to retail vertical. Saw use go from 1 user of previous tool with 1 day turnaround to dozens of users with turnarounds measured in the seconds.
• Consulting work in Pylons, JavaScript, Django, Android and spec writing for next gen mobile interfaces.

Aug 2004 – Feb 2007 · 2 yrs 6 mos

• Worked in various roles as the company was being incubated in Kleiner Perkins' offices. Responsible for replacing huge in house build system with open source community alternative. Worked in the CTO/founder's office to explore open source communities and developments. Implemented prototypes for future products/services in asset management, build automation, custom application stacks.

Jan 2001 – Aug 2004 · 3 yrs 7 mos

• Held various roles for Enterprise Search company doing web, tools, and services development. Received recognition for going "Above and Beyond" in ensuring customer success.

Jun 2000 – Aug 2000 · 2 mos

• Assisted in implementing a "term suggestor" for Enterprise Search company. Wrote a news group spider to query the knowledge base.

Jun 1999 – Sep 1999 · 3 mos

• Implemented an automated test suite for black box testing of Load Balancers. Test suite cut QA testing time from 1 day to 20 minutes. Worked with team members to test server loading on large websites using Unix (Solaris, HP-UX, and Linux) and Windows platforms.

Jan 1999 – Dec 2001 · 2 yrs 11 mos

• Assisted High School Student in Math, Science, English and History. Also tutored in Java programming. Tutored retired man who desired to learn how to program computers in Python.