Built full-stack web applications with Python to support real-time compliance monitoring on renewable energy projects often exceeding $1M, implemented a rules engine in Python and SQL.
Owned the entire feature lifecycle from idea to implementation by translating stakeholder requirements into deployed web applications, facilitated UAT, and maintained solutions after launch.
Created containerized data pipelines with Python, Docker, and Postgres to ingest millions of records per day and reduced processing time by 83%.
Built and maintained an internal reporting platform that scaled output from 3 to 150+ reports per month and automated first-pass validation.
Improved team onboarding by maintaining a wiki in GitHub, collaborated with other developers using Git, and implemented automated linting and tests with GitHub Actions.
Data Analyst
National Heritage Academies, March 2021 - March 2022
Developed a statistical model in Python to classify more than 50,000 attendance rates into 3 categories.
Partnered with school faculty to prioritize classroom instruction using analysis of student test-score data.
Visualized and summarized testing results across 4 subjects at more than 50 schools using R, Python, and SQL.
Data Analyst Intern
Steelcase, May 2019 - May 2020
Delivered data-driven hiring and relocation insights by modeling $60 million worth of incremental sales.
Used Python, R, Tableau, and SAS to clean, merge, and analyze over 50 million rows of data.
Worked on a cross-functional team to deploy a floor space optimization tool (PuLP) and recommender system.
Personal Projects
Deployed a vocabulary management app with React and Django to support daily Spanish learning. View
Built a data pipeline to ingest and analyze my own grocery store receipts using OCR and manual labeling. View
Scraped historic Amazon shareholder letters in Python and built an NLP dashboard with Dash. View
Created a personal website to improve my writing skills and showcase personal projects. View