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Hemanth Vegi

@hemanthvegi

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I build data-driven product strategy, experimentation systems, and machine learning models.

India

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I'm currently building end-to-end experimentation at Binance.US, including an automated, scalable A/B test evaluation engine for product launches. I also used Monte Carlo simulations to optimize Deposit Match financial exposure, reducing costs by 50% without compromising engagement.

At Uber, I developed causal-inference frameworks for merchant incentives across three markets, contributing to more than $50M in business impact. I designed 11 A/B tests that generated $22.5M in annualized impact for Uber Eats and improved merchant login success by 8.7%.

As Head of Analytics at Park+, I built the central analytics function from a solo role into a 14-member vertical and embedded data-driven decision-making across the business. I developed recommendation and user-persona systems that doubled engagement from 6% to 11% and improved retention by 47%.

My earlier work at Barclays and Paytm spans model monitoring, product ranking, and predictive modeling. I use Python, SQL, SAS, machine learning, causal inference, and statistical experimentation to turn data into measurable product and business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Binance.US

Spearheaded end-to-end experimentation for 5 product launches and built an automated A/B test evaluation engine. Utilized Monte Carlo simulations to stress-test financial exposure, achieving a 50% cost reduction.

A B Testing Monte Carlo Simulations Python SQL Experimentation Data Science

Senior Scientist, Tech

Uber

Oct 2023 - Oct 2025 (2 years)

Developed causal inference frameworks for impact estimation, resulting in over $50M business impact. Designed and executed 11 A/B tests generating $22.5M in annualized impact for Uber Eats.

Causal Inference Synthetic Control A B Testing XGBoost SHAP Python SQL Funnel Analysis Opportunity Sizing

Head of Analytics

Park+

Nov 2021 - Sep 2023 (1 year 10 months)

Established the Central Analytics Function, growing from a solo contributor to a 14-member team. Designed and deployed strategies to democratize data accessibility and embed evidence-based decision-making.

Recommendation Systems Two Tower Models Bayesian Optimization PCA KMeans Clustering Python SQL Leadership

Quantitative Analyst

Barclays

Jul 2019 - Nov 2021 (2 years 4 months)

Spearheaded post-deployment monitoring for Basel Capital Models, ensuring regulatory adherence. Designed automated evaluation code using SAS Macros, reducing cycle time for drift analysis by 70%.

SAS Regression Models Model Monitoring Statistical Process Control BASEL Python

Business Analyst

Paytm

Jul 2016 - Jun 2019 (2 years 11 months)

Revamped Search & Discovery using a data-driven product ranking model, driving a 91% surge in conversion rate and 47% revenue uplift. Developed a Time-to-Restock predictive model for FMCG, doubling average orders per customer.

Product Ranking predictive modeling Python SQL FMCG Analytics Conversion Rate Optimization