Desi Pilla
Senior Data Scientist
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolDesi 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
Stackoverflow
554reputation
49kreached
16answers
14questions
Github Skills (36)
sports-data10
espn10
statistics9
api9
aws-lambda7
azure-functions7
aws7
data-analytics7
serverless7
corenlp6
lambda6
dictionary6
serverless-framework6
scikit-learn6
python6
Programming languages (4)
Github contributions (5)
DesiPilla/twitter-sentiment-analysis
May 2020 - May 2020
Contributions:2 releases, 59 commits, 50 pushes in 20 days
DesiPilla/forecasting-new-england-energy
Apr 2020 - Mar 2022
This is the final project for the course Machine Learning for Time Series Analysis (MLSTA 667) at the University of Delaware. The course instructor is Dr. Federica Bianco. The team members associated with this project are Jonathan Clifford, Desiderio Pilla, and Ramiz Qudsi. All are graduate students at UD.
Contributions:14 PRs, 9 pushes, 1 comment in 1 year 11 months
machine-learningtime-series
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