Claret Thanikkal

Data Scientist

Hyderabad 3+ yrs exp 86 · Excellent

About

Data Scientist at Uber with experience in statistical analysis, experimentation, and data-driven optimization to large scale operational and product systems. Delivered $8.6M+ in annualized savings by identifying operational inefficiencies, developing prioritization and measurement frameworks, and translating complex multi-source data into actionable decisions. Skilled in A/B testing, experiment design, metric and guardrail definition, user segmentation, pre/post analysis, holdout experimentation, and root-cause analysis. Proficient in SQL, Python, BigQuery, and Tableau, with a track record of partnering with Product, Engineering, Operations, and Sourcing to translate data into measurable business and product outcomes.

Skills & Expertise (19)

Experiment Design Advanced

9.1/10

Years Exp

A/B testing Advanced

9.1/10

Years Exp

Hypothesis Testing Advanced

8.8/10

Years Exp

GenAI Analytics Advanced

8.8/10

Years Exp

Model Evaluation Advanced

8.5/10

Years Exp

Python Advanced

8.5/10

Years Exp

SQL Advanced

8.5/10

Years Exp

Google BigQuery Advanced

8.3/10

Years Exp

Tableau Intermediate

7.5/10

Years Exp

Cost Optimization Funnel Analysis KPI Frameworks Product Analytics Spark Hive Looker Studio Root-cause analysis LLM Applications User Segmentation

Work Experience

Data Scientist I

Uber Systems India

Jul 2023 - Present

Owned experimentation and measurement for new features across Uber’s in-app messaging platform, the core communication layer supporting Rides, Eats, Grocery, Courier, and AI/human support; designed experiments, defined primary metrics and guardrails, and evaluated feature impact using A/B testing, including image sharing and voice notes. Identified users affected by a legacy push-notification preference and developed multi-device eligibility logic, accounting for device-level preferences, OS notification blocks, and push-token lifecycle issues; conducted pre/post analysis to validate impact, enabling migration to push notifications and delivering $5.1M in annualized SMS savings. Diagnosed duplicate WhatsApp/SMS notifications caused by delayed WhatsApp delivery receipts; analyzed delivery latency and established an optimized 45-second WhatsApp TTL before SMS fallback, avoiding duplicate messaging costs and generating $510K in annualized savings. Developed a recurring market prioritization framework combining SMS unit economics, delivery rates, operating status, and persistence to identify low-efficiency markets and prioritize optimization opportunities, generating $3M in annualized savings. Owned global Efficiency and Addressability OKRs, conducting recurring driver analysis across SMS, WhatsApp, voice, email, and push to identify communication-cost and user-reachability opportunities and influence product and engineering priorities. Designed measurement frameworks for communication safety features, including Voice Guard and Answering Machine Detection-based call handling; analyzed regional patterns, evaluated transcription windows and thresholds, and designed holdout groups and guardrails to measure cancellation impact while monitoring contact rate and Account Takeover Fraud.

Senior Data Analytics Specialist [Team Lead]

Uber Systems India

Present - Present

Led a team of 3 analysts while owning analytics strategy and delivery, prioritizing high-impact initiatives, partnering with cross-functional stakeholders, and mentoring analysts through code reviews, technical guidance, and structured onboarding. Applied clustering and classification techniques to map incoming user queries from Uber’s AI chatbot to LLM-optimized structured Help Centre content, improving identification and matching of relevant knowledge articles for AI-generated responses. Built a centralized evaluation dashboard for Uber’s GenAI products, consolidating 10+ metrics across 5+ data sources for Product, Engineering, and Support leadership. Systematized manual analytics and localization workflows using Python, BigQuery, and Google Sheets APIs, reducing operational effort by 50%+. Built Python-based pipelines to analyze millions of Help Centre sessions, identifying unresolved journeys and content gaps and enabling targeted improvements projected to increase self-serve resolution by 15–20%.

Data Analytics Specialist III

Uber Systems India

Present - Present

Led source-to-target data mapping and database reconstruction during platform migrations, maintaining reporting continuity and redesigning KPIs for the new CMS. Unified 4+ regional dashboards and automated supporting scripts, saving 4–8 hours of manual maintenance per week. Built performance monitoring dashboards and owned monthly scorecards spanning 40+ metrics, reducing agent evaluation time by 90% and contributing to a 12% increase in operational goal attainment and 25% reduction in reporting turnaround time. Developed search optimization tooling that reduced HTML-heavy data size by 70% and query costs by 65%.