Sheetal Bongale
Senior Data Scientist
Austin, Texas, United States
Summary
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Senior🎓
Top SchoolSheetal Bongale is a Senior Data Scientist and ML Engineer based in Austin with six years of experience designing forecasting and optimization systems that cut food waste and streamline grocery operations. She has built end-to-end production forecasting, recommendation, and causal-impact solutions at startups across Series A–B and currently drives demand forecasting and inventory intelligence at Upshop. Comfortable across Python, SQL, cloud data platforms and ML tooling (Databricks, Snowflake, MLflow, Airflow), she pairs rigorous time-series and statistical modeling with practical productionization and observability. She also brings hardware-rooted discipline from an earlier ASIC verification and VLSI research background, which shows in her focus on reliable, testable ML systems. A former data science instructor and bootcamp tutor, she translates technical insights into product and business decisions and mentors teams on actionable analytics.
6 years of coding experience
6 years of employment as a software developer
Graduate Certificate Data Science and Visualization, Graduate Certificate Data Science and Visualization at Texas McCombs School of BusinessMaster's degree Electrical and Computer Engineering, Master's degree Electrical and Computer Engineering at University of CincinnatiBachelor of Engineering Electronics Engineering, Bachelor of Engineering Electronics Engineering at University of Mumbai
English, Hindi, Marathi, Kannada, Konkani
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (60)
git10
gitignore10
php10
version-control10
recommender10
sqlalchemy9
correlation9
d3js9
knn9
rental8
sakila-database8
machine-learning-models7
mysql7
gcp7
collaborative-filtering7
Programming languages (5)
Github contributions (5)
sheetalbongale/Retail-Time-Series-Analysis-and-Forecasting
Mar 2021 - Mar 2021
Contributions:45 commits, 42 pushes, 11 issues in 15 days
sheetalbongale/ALE-gorithm-II
Apr 2020 - May 2020
Ale-gorithm 2 is a full stack beer recommender app using Collaborative Filtering Machine Learning Models. ALE-gorithm-2 will recommend your next beer in two ways using a custom recommender model built with Surprise-scikit KNN Model | Deployed on GCP > https://alegorithm2-fxljyqhslq-uc.a.run.app
Contributions:98 commits, 81 PRs, 93 pushes in 22 days
scikit-surprisegcppythonflaskknn-model
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