Headline

Senior Data Scientist | Causal Inference & Experimentation

About

I am a Senior Data Scientist with approximately 10 years of experience in driving multi-million dollar business impact through Machine Learning, Causal Inference, and advanced analytics. My core expertise lies in the intersection of machine learning, causal inference, and large-scale experimentation. I thrive on building and deploying data products that not only drive revenue but also enhance user experience. I am passionate about tackling challenging problems and am always looking to leverage my skills in a role where I can contribute to cutting-edge research and product development. I specialise in: 🔹 Machine Learning: XGBoost, Two-Tower Embedding architectures, and LLM-based classification. 🔹 Causal Inference: Synthetic Control Methods, A/B Testing, and Hypothesis Testing to quantify intervention impact. 🔹 Product Strategy: Developing automated evaluation frameworks, opportunity sizing, and user profiling via PCA & Clustering.

Location

Hyderabad

AI stack

claude code

gemini

notebooklm

ChatGPT

Otter.ai

Work experience

Senior Data Scientist at Binance.US, Apr 2026 - Present · 6 mos, Hyderabad, Telangana, India

Senior Data Scientist at Uber, Oct 2023 - Oct 2025 · 2 yrs 1 mo, Hyderabad, Telangana, India, ➣ Delivered over $50M in business impact using Causal Inference and Synthetic Control Methods to estimate merchant incentive effects. ➣ Designed and executed 11 A/B tests for Uber Eats, generating $22.5M in annualised impact. ➣ Developed an LLM-based classification system for app reviews, improving App Store rating from 1.6 to 4.2 and Play Store rating from 3.1 to 4.1. ➣ Engineered an XGBoost 'Early Success' propensity model to optimise merchant onboarding.

Head of Analytics at Park+, Nov 2021 - Sep 2023 · 1 yr 11 mos, Gurugram, Haryana, India, ➣ Scaled the Central Analytics Function from a solo contributor to a 14-member team. ➣ Built a candidate retrieval recommendation system using Two-Tower embeddings, doubling engagement rates from 6% to 11%. ➣ Implemented a user profiling framework (PCA & K-Means) that improved campaign retention by 47%.

Assistant Manager, Analytics at Barclays, Jul 2019 - Nov 2021 · 2 yrs 5 mos, Noida, Uttar Pradesh, India, ➣ Delivered crucial reports like 𝐏𝐢𝐥𝐥𝐚𝐫 3 & 𝐑𝐖𝐀 accuracy that are used to track bank's risk profile using 𝐏𝐃, 𝐄𝐀𝐃 𝐚𝐧𝐝 𝐋𝐆𝐃 ➣ Setup and automated the model monitoring process of the capital models for the Barclaycard US portfolio by computing 𝐆𝐈𝐍𝐈, 𝐏𝐒𝐈, 𝐂𝐒𝐈 𝐚𝐧𝐝 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 of the models ➣ Reduced the code runtime by 70% and code length by 50% for the monitoring process of the Barclaycard UK portfolio acquisition models by optimizing the code using 𝐒𝐀𝐒 𝐌𝐚𝐜𝐫𝐨𝐬

Junior Manager, Analytics at Paytm, Jul 2016 - Jul 2019 · 3 yrs 1 mo, Noida, Uttar Pradesh, India, ➣ 𝐑𝐞𝐜𝐨𝐯𝐞𝐫𝐞𝐝 𝐈𝐍𝐑 2𝐂𝐫 in the O2O campaign by identifying transactions that are ineligible for the campaign ➣ Reduced the 𝐏𝐫𝐨𝐦𝐨 𝐂𝐨𝐝𝐞 𝐟𝐫𝐚𝐮𝐝 by ~50% for the iPhone sales by identifying and blocking fraudulent sellers and users ➣ Achieved 2𝐱 𝐨𝐫𝐝𝐞𝐫𝐬 𝐩𝐞𝐫 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 from the FMCG push campaign by estimating the consumption period for various products and adjusting the campaign frequency accordingly ➣ Setup several 𝐫𝐞𝐩𝐨𝐫𝐭𝐬/𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 (using MySQL, Hive, Google Analytics, R and Excel) to help the Business and Growth teams make data backed decisions in managing Inventory, Conversions, Drop Offs etc

Education

Bachelor of Technology (B.Tech.), Mechanical Engineering, Indian Institute of Technology, Madras

Board of Intermediate Education, Maths, Physics, Chemistry, English and Sanskrit, Mahathi Junior College, Visakhapatnam