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varun verma

@varunverma1

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Senior Data Scientist at Uber who designed a merchant AI help center measurement framework, saving $3M annually.

United States

Message

At Uber, I designed the measurement and experimentation framework for a merchant AI help center in Order Manager. It reduced time to resolution by 30%, automated 40% of contact volume, and generated $3M in annual savings.

I’ve also used causal inference and experimentation to guide product decisions, including estimating refund incentive effects and identifying an $8M opportunity related to unreported delays. Earlier at Uber and Amazon, I developed analytics pipelines, dashboards, and predictive models for support and operations.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Uber

Jan 2025 - Present (1 year 9 months)

Architected an LLM context-governance plugin reducing Claude token usage by 45% and designed measurement frameworks for AI help center, generating $3M in annual savings. Led propensity-score-matching studies and developed targeted interventions to increase gross bookings.

LLM Evaluation Context Engineering Retrieval System Design Prompt Engineering AI Measurement A B Testing Propensity Score Matching Causal Inference Python SQL Dashboarding

Data Scientist II

Uber

Jan 2023 - Jan 2025 (2 years)

Quantified causal impact of delayed orders, identifying $11.7M in gross-bookings exposure and an $8M opportunity. Partnered with Payments Engineering to improve refund instrumentation, projected to unlock $35M in annual savings.

Causal Inference A B Testing Experimental Design Python SQL Dashboarding Root Cause Analysis

Data Scientist

Uber

Jan 2021 - Jan 2023 (2 years)

Built automated data pipelines for executive KPI reporting, reducing manual effort by 20%. Developed Tableau dashboards and defined core metrics for product performance monitoring.

Python SQL Tableau ETL Pipelines Dashboarding KPI Design

Data Analyst

Uber

Jan 2019 - Jan 2021 (2 years)

Built automated ETL pipelines and real-time dashboards, reducing reporting turnaround time by 70%. Designed an automated KPI monitoring and alerting system that enabled 30% faster response to performance issues.

ETL Pipelines Dashboarding KPI Monitoring Python SQL

Data Analyst

Amazon

Jan 2015 - Jan 2019 (4 years)

Developed predictive models for agent-performance forecasting across 500+ agents, improving operational efficiency by 25%. Led cross-functional analytics initiatives that increased team performance by 15%.

predictive modeling Python SQL Analytics Cross Functional Collaboration