Gaurav Bansal
Senior Manager Data Science
Washington, District of Columbia, United States
Summary
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Senior🎓
Top SchoolGaurav Bansal is a Senior Manager of Data Science in Washington, DC with over 11 years of experience applying predictive modeling, time-series forecasting, and ML to business optimization across finance, retail, and supply chain. He has led production forecasting and CRM initiatives at firms like Charles Schwab, Capital One, and Amazon, moving models into scalable infrastructure (AWS, Spark, R Shiny) and improving decision-making via A/B testing and KPI design. Comfortable coding in R and Python and building tooling (including an R package that gained broad usage), he balances hands-on model development with mentoring and product-focused deployment. His background in environmental engineering and international development gives him a rare blend of policy-oriented modeling experience and commercial analytics rigor. Multilingual and curious, he writes fiction, brews traditional chicha, and channels strategic instincts from the soccer field into team leadership and experiments.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science, Physics, Bachelor of Science, Physics at The University of Texas at AustinMaster of Science, Environmental Engineering, Master of Science, Environmental Engineering at Virginia TechCertificate, Deep Learning, Certificate, Deep Learning at CourseraCertificate, Data Science, Certificate, Data Science at Johns Hopkins Bloomberg School of Public Health
English, Hindi, Spanish, French, Portuguese
Github Skills (15)
converting4
pmml3
machine-learning2
shiny2
python2
scikit1
partial1
visualization1
visualize1
clustering1
topological-data-analysis1
data-science1
autoencoder1
scikit-learn1
self-organizing-map1
Programming languages (2)
Github contributions (5)
gaurbans/ecm
Dec 2017 - May 2021
Contributions:29 commits, 29 pushes, 1 branch in 3 years 5 months
gaurbans/Kaggle-GoogleAnalyticsCustomerRevenuePrediction
Oct 2018 - Nov 2018
Contributions:5 pushes, 1 branch in 1 month
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