Renn Jervis
United States
Summary
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SeniorRhys Jervis is a data scientist and adjunct professor based in the New York City metropolitan area with a decade of experience turning data into business value. He has led end-to-end ML initiatives, including architecting Prospect33’s first forecasting pipeline that boosted forecasting accuracy by 85% using Python, SQLAlchemy, Docker, Azure SQL, and Application Insights. Currently, he serves as an Adjunct Professor at Monroe University and a WorldQuant BRAIN Research Consultant, guiding both students and teams in quantitative research and applied problem solving. His work spans data mining, predictive analytics, dashboard development, and data warehousing, with a strong grounding in statistics and relational databases. He blends academic rigor with industry pragmatism, having hands-on experience in data extraction, data engineering, and data-driven decision making. He holds a Master’s degree with Distinction in Statistics and a background in actuarial science, complemented by a recent software engineering credential from Springboard to bridge data science and software development.
11 years of coding experience
Github Skills (5)
node-js3
sass3
linting3
css3
nodejs3
Programming languages (1)
Github contributions (5)
Rjervis3/TownHallBakery
Jun 2015 - Jun 2021
Contributions:7 pushes, 3 branches in 6 years 1 month
Rjervis3/Personal_Website
Jul 2015 - Oct 2015
Contributions:14 pushes, 1 branch in 3 months
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