Saurabh Satapathy

About Saurabh Satapathy

Gold Medalist Computer Science Engineer and Data & Business Analyst working with Uber on large-scale operations, growth, and supply analytics (via Deloitte).I specialize in turning complex data into clear business decisions. At Uber, I currently operate as an Analyst Lead, managing an analyst pool of 5, owning sprint planning and scrum calls, and partnering closely with cross-functional stakeholders to drive execution. I’ve built centralized dashboards with 200+ KPIs used across operations, growth, supply, and support teams, directly influencing revenue protection, pricing logic, churn reduction, and fleet-level performance across multiple cities.I enjoy working at the intersection of data, business, and technology—from SQL-heavy deep dives and experiment design to Tableau storytelling and automation. I’ve led treatment-control experiments, identified revenue leakages, optimized SQL pipelines, and enabled leadership teams to act faster with reliable, decision-ready insights.Academically, I hold:B.Tech in Computer Science (Gold Medalist, CGPA 9.81/10)B.Sc in Data Science & Programming from IIT Madras (Top 1%)Beyond analytics, I have hands-on experience in full-stack development and open-source contributions, including building and publishing a Python compiler on PyPI. I’ve also published research papers with Springer and IJSRD and enjoy building products that solve real-world problems.I’m currently interested in opportunities involving:Data Analytics | Analytics Lead | Data Engineering | Business Intelligence | Product/Data StrategyLet’s connect if you enjoy solving hard problems with data or building impact at scale.

Experience

1. Analyst

   Deloitte

   Jan 2025 — Present · Hyderabad, IN

   Acting as Analyst Lead, managing an analyst pool of 5, owning sprint planning, task prioritization, and scrum calls while collaborating with cross-functional stakeholders• Tracked performance of 70+ managed and non-managed fleets across 7 cities using SQL, Tableau, Python, and Google Suite• Built and owned centralized dashboards with 200+ KPIs and 10+ views across operations, growth, supply, and support teams• Conducted impact analysis on driver subscription models, identifying ~$30K weekly revenue loss markets, enabling corrective actions• Revamped dashboards for multiple large fleets to improve visibility and data-driven decision-making• Designed and executed treatment-control experiments across 4 cities, achieving 70% qualification and 1.8x GB/Spend uplift• Identified 3–4% churn drivers and ~0.5% GB leakage via deep SQL analysis, influencing payout models and retention strategies• Tagged managed supply drivers using automation scripts and improved pricing logic for ~5% violated offers• Discovered ~7% higher unfavorable trips in centrally managed supply vs DCOs, enabling targeted operational improvements• Analyzed sourcing origins and cohort shifts of drivers from 600+ districts to guide forecasting and city-level expansion strategy• Optimized SQL pipelines and automated reporting workflows using 110+ queries, improving data reliability and analyst productivity

Education

• Indian Institute of Technology, Madras

  BSc, Data Science and Application

• Odisha University of Technology and Research

  Bachelor of Technology - BTech, Computer Science & Engineering

  2020 — 2024

• SARASWATI SISHU VIDYA MANDIR, RAMAHARI NAGAR, BERHAMPUR, ODISHA

  X

  2018

• SARASWATI HIGHER SECONDARY SCHOOL, NILAKANTHA NAGAR, BERHAMPUR, ODISHA

  XII

  2020