Bill Hines
Data Scientist
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolBill Hines is a data scientist with 10 years of experience translating engineering-domain problems into production-ready machine learning and analytics solutions, currently based in Greater Boston. He combines a mechanical engineering background with advanced Python, pandas, numpy, scikit-learn and SQL skills to build end-to-end pipelines, feature stores, and deployed models. At Monster he improved classification accuracy with a fine-tuned multilingual encoder and doubled paid-job generation through a learning-to-rank framework, and previously delivered multimillion-dollar energy savings via predictive models in the energy sector. Comfortable across R, MongoDB, Tableau and deployment tooling, he has a track record of operationalizing models at scale (processing millions of profiles daily) and creating human-in-the-loop monitoring to reduce maintenance effort. Notably, he built a high-accuracy parking-spot prediction web app from 36M observations during a data science fellowship, reflecting a pragmatic focus on measurable impact.
10 years of coding experience
9 years of employment as a software developer
BS, Mechanical Engineering, BS, Mechanical Engineering at Columbia University in the City of New YorkBS, Engineering, BS, Engineering at Bates CollegeThayer Academy
Github Skills (4)
parking8
predict7
flask4
python3
Programming languages (1)
Github contributions (5)
billyhines/billyhines.github.io
Jan 2020 - Jul 2024
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
Contributions:26 pushes, 1 branch in 4 years 6 months
simple-websitebeautiful-jekylljekylljekyll-thememinutes
billyhines/parkapp
Sep 2019 - Mar 2020
Web app built with Python and Flask that is designed to predict and display the availability of parking in Downtown Melbourne Australia.
Contributions:88 commits, 10 pushes, 1 branch in 5 months
pythonavailabilitydowntownmelbourneflask
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