Sayar Banerjee
Data Scientist, Staffing Algorithms
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolSayar Banerjee is a data scientist with eight years of experience applying machine learning, NLP, and optimization to real-world business problems across finance, retail, and supply chain domains. Currently at Starbucks, he builds staffing algorithms that optimize operations across North America, after contributing to customer analytics and supply chain forecasting roles. A UC Davis MS in Business Analytics candidate and Kaggle Expert, he has hands-on experience productionizing NLP models on GCP, automating ETL at scale with Beam/Dataflow, and improving demand forecasts and inventory decisions using Prophet, ARIMA, and optimization tools like Gurobi. Notably, he scraped and modeled over 55,000 SEC filings for research and prototyped a 94%‑accurate transliteration model for Indian languages, blending applied research with production engineering. Based in Seattle, he combines a strong statistical foundation from UIUC with practical system-building skills to turn complex data into actionable business impact.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at University of California, DavisBachelor's degree Double Major in Economics and Statistics, Bachelor's degree Double Major in Economics and Statistics at University of Illinois Urbana-Champaign
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
javascript10
nodejs10
mongodb10
predict7
python7
streamlit6
realtime5
dashboard5
face-detection4
computer-vision4
web-application4
data-science2
machine-learning1
Programming languages (3)
Github contributions (5)
Sayar1106/sayar1106
Jul 2020 - Feb 2025
Pawan Kumar Portfolio
Contributions:23 pushes in 4 years 7 months
reactjsjavascriptreact
Sayar1106/COVID-19
Feb 2020 - Jun 2020
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Contributions:18 commits, 33 PRs, 18 pushes in 3 months
casesjhu-cssenovel-coronavirusjhucsse
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