Ritesh Agrawal
Senior Director AI ML at Gap Inc.
Pleasanton, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRitesh Agrawal is a Senior Director of AI/ML with 14+ years of experience building production machine learning platforms and data-driven products across Netflix, Uber, Varo Bank, Shipt, and now Gap Inc. He combines deep technical skills in feature stores, large-scale feature engineering, and ML systems with a proven track record of cost savings and performance gains—such as multi-million dollar infrastructure optimizations at Uber and latency reductions at Netflix. At Shipt he led multiple teams to optimize pricing, catalog quality, search, and recommendations; at Varo he architected the feature store and payroll deposit categorization models. A longtime practitioner of practical open-source collaboration, he contributed substantive enhancements to sklearn-pandas (improving DataFrameMapper naming, overwrite options, and UX with progress bars). With a PhD-focused background in GIS and information retrieval, he blends rigorous research instincts with product-focused delivery and a knack for turning complex data problems into measurable business impact.
14 years of coding experience
19 years of employment as a software developer
PhD Geography (GIS KM Information retrieval), PhD Geography (GIS KM Information retrieval) at Penn State UniversityShivaji Science CollegeBE Civil Engineering (GIS), BE Civil Engineering (GIS) at Visvesvaraya National Institute of TechnologyMS Transportation Enginerring / GIS, MS Transportation Enginerring / GIS at University of Illinois Urbana-ChampaignSt John's High School, Nagpur
English, Hindi, Marathi
Github Skills (12)
scikit10
dataframes10
data-transformation10
pandas10
feature-engineering10
data-pipelines10
data-pipeline10
python10
pipe10
pipeline10
dataframe10
scikit-learn10
Programming languages (6)
Github contributions (5)
scikit-learn-contrib/sklearn-pandas
Apr 2017 - Aug 2022
Pandas integration with sklearn
Role in this project:
Data Scientist
Data ScientistContributions:1 release, 7 reviews, 54 commits in 5 years 5 months
Contributions summary:Ritesh primarily focused on enhancing the `DataFrameMapper` class within the `sklearn-pandas` library. Their contributions involved capturing and managing transformed feature names, adding options to overwrite the input DataFrame at the transformer level, and incorporating features like prefix/suffix for column names. Furthermore, they integrated tqdm progress bars for fit and transform methods, improving user feedback and progress visibility during the data transformation process.
pythonsklearnmachine-learningscikit-learnpandas
ragrawal/sklearn-pandas
Apr 2017 - Aug 2022
Pandas integration with sklearn
Contributions:69 pushes, 27 branches in 5 years 5 months
pythonpandassklearn
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