Headline

Data Scientist @ Uber

About

As a Data Scientist I at Uber, I design frameworks for validating earnings reports, conduct large-scale A/B experiments, and create cross-product engagement dashboards using Agentic AI to enhance operational efficiency. My work has contributed to improving data accuracy and optimizing key metrics that drive user engagement. I hold a Postgraduate Diploma in Data Science from IIIT-Bangalore and a Bachelor of Engineering from Sir M Visvesvaraya Institute of Technology. My current role reflects my dedication to leveraging data science for impactful insights and innovative solutions, as I continue to grow in the field of Data Science.

Location

Hyderabad

AI stack

claude code

cursor

langchain

langgraph

openai

Pinecone

Work experience

Data Scientist I at Uber, May 2025 - Present · 1 yr 5 mos, Hyderabad, • Designed a validation and deep-dive framework for over 600K earnings reports, enhancing accuracy from 81% to 99.97%. • Conducted a large-scale A/B experiment with 35M customers, achieving a 0.98% lift in delivery-active users. • Developed a comprehensive cross-product engagement dashboard, reducing data-drift resolution latency from weeks to 0.5 days using Agentic AI.

Associate Decision Scientist II at Uber, Oct 2023 - Apr 2025 · 1 yr 7 mos, Hybrid, • Led over 70 global Root Cause Analyses (RCAs) and developed 20+ mitigation scripts, achieving approximately $250K in annual loss reduction. • Reduced false positives by 2,500 per week, saving over 85 hours in review time while maintaining rule recall. • Automated RCA workflows using Python, cutting analysis time by around 5 hours per case. • Developed an LLM-powered chat analysis script to detect phishing patterns, preventing weekly losses of $14K.

Business Analyst at Uber, Jan 2023 - Sep 2023 · 9 mos, Hyderabad, • Developed a highly accurate Python-Presto deduplication model, achieving 96% accuracy in reducing duplicate driver accounts. • Managed over 25 critical Python automations, enhancing operational stability and efficiency within the APAC Safety team. • Collaborated with cross-functional teams to streamline processes and improve data integrity, contributing to Uber's mission of safety and reliability.

Data Analyst at KreditBee, May 2022 - Dec 2022 · 8 mos, Bangalore Urban, • Developed a Decision Tree-based classification model to enhance customer follow-up strategies, resulting in an 8% increase in payment conversion. • Optimized SMS costs by 15% through effective PDF link management using Python and AWS S3. • Created a Streamlit tool to automate agent incentive calculations, streamlining operational efficiency at KreditBee.

System Engineer at Infosys, Apr 2021 - Apr 2022 · 1 yr 1 mo, Mysore, • Developed and managed pipelines that support multiple website health dashboards for clients. • Fulfilled ad-hoc query requests from stakeholders, enhancing data accessibility. • Created a query library that streamlined common requests, saving the team approximately 4-5 hours weekly.

Intern at HeidelbergCement, Jul 2019 - Aug 2019 · 2 mos, Tumkur, Karnataka, India, - Basic discussions about all the departments from mines to the packing plant for cement manufacturing. I also explored the cement mill and packing plant section. - Worked with EOT and ropeway department to see how they work and the step of actions taken when there is an emergency situation. - Explored raw mill, kiln, and mines and saw the work culture as these were the dangerous place to work due to there conditions. - Did oxy-acetylene cutting and arc welding and prepared a part of the guard for cement mill. Collected all the details of the machinery and made a report on it.

Education

PGDDS, Data Science, International Institute of Information Technology Bangalore

Bachelor of Engineering - BE, Sir M Visvesvaraya Institute Of Technology