Desi Pilla is a Senior Data Scientist based in New York with seven years of experience building ML-driven products that make advertising smarter and more measurable. At Paramount she has developed convergent ad-delivery features and forecasting models for TV viewing and campaign metrics, now leading work across the Advanced Advertising portfolio. Her background spans production ML, NLP, time-series analysis, and cloud deployments (AWS), with prior roles at JPMorgan where she shaped team roadmaps and mentored peers. Unusually for a data scientist, she also holds a Mechanical Engineering degree and has a track record of automating and operationalizing analytics—having once automated her own intern role and scaled survey analysis into a Slack-accessible model pipeline.
7 years of coding experience
5 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at University of Delaware
This project aims to make ESPN Fantasy Football statistics easily available. With the introduction of version 3 of the ESPN's API, this structure creates leagues, teams, and player classes that allow for advanced data analytics and the potential for many new features to be added.
Contributions:4 releases, 2 reviews, 114 commits in 3 years 3 months
Contributions:2 releases, 59 commits, 50 pushes in 20 days
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