Sanyukta Kumari

Data Analytics Specialist @Uber

Hyderabad, IN

Defined the primary KPI—28-day supply hours per active courier (MDE = 7%)—and built an end-to-end A/B test using proactive calls vs. control.2. Delivered an 8% lift in supply hours and a 28% reduction in soft churn, with contact rates up 18%—insights that shaped regional rollout plans.3. Automated a Looker Studio dashboard to track ingestion-to-outreach lag and prioritize high-value cohorts, enabling the team to standardize scaling across cities.4. Led a global logistic regression initiative (pseudo R² up to 58% for Japan driver MLC) to pinpoint top churn drivers—defective trips (≈1.9× higher risk), demand-issue calls, and fare disputes.5. Synthesized model outputs into a data-driven decision framework, guiding Product on which issue categories to triage first and reducing driver attrition by targeting high-impact support journeys.6. Partnered with Data Engineering to instrument new support-event flags, improving future model precision and enabling continuous monitoring.7. Designed and analyzed an A/B test comparing an AI-driven voice bot vs. traditional robocalls, setting up KPIs (connect %,interest capture %, FT conversion).8. Achieved a +16 pp uplift in connect rate,+2 pp in interest capture, and a 0.41 pp increase in first-time conversions—results that secured cross-functional buy-in to expand to other languages.9. Captured and categorized “not interested” reasons via the bot—feeding qualitative insights into the next sprint on lead- qualification logic.10. Scoped and built a Python-automated pipeline for Tableau and Looker dashboards, reducing reporting latency by 70% and enabling near-real-time monitoring of product experiments.11. Established standard experiment templates (SQL + Python), cutting setup time by 50% and ensuring consistent metric definitions across squads.

Birla Institute of Technology, Mesra

Bachelor's degree

Scaler Neovarsity

Master of Science - MS