Rishabh sengar

Operations Associate

Gurugram, Haryana, India2 yrs 10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Achieved $1M+ annual cost savings through automation.
  • Increased driver reactivation by 20% via A/B testing.
  • Automated workflows saving over 150 hours monthly.
Stackforce AI infers this person is a Data Analyst specializing in SaaS and automation-driven analytics.

Contact

Skills

Core Skills

Fraud AnalyticsA/b TestingAutomationData Analysis

Other Skills

SQLPythonPower BILookerGenAI/LLMsStatistical AnalysisAPI IntegrationLarge Language Models (LLM)ExcelETLAWSSeleniumMicrosoft ExcelData AnalyticsBusiness Analytics

About

Senior Data Analyst | Business Analyst | Driving $1M+ Impact Through Analytics, Automation & GenAI I'm a Senior Data Analyst with 3.6+ years turning complex data into measurable business outcomes for large-scale platforms. I specialize in fraud analytics, experimentation, and automation-first frameworks that reduce losses, improve trust, and enable scalable decision-making. πŸ’° PROVEN IMPACT: βœ“ $1M+ annual cost savings through fraud prevention and automation βœ“ 20% increase in driver reactivation via A/B testing and experimentation βœ“ 15% reduction in churn through cohort analysis and incentive optimization βœ“ 150+ hours saved monthly through Python/SQL automation βœ“ 70% auto-generation of recurring queries using GenAI analytics agents 🎯 EXPERTISE: Fraud & Risk Analytics: Built automated detection systems using Python, SQL, and LLMs (LangChain, LangGraph) that shifted teams from reactive monitoring to proactive daily alerts. A/B Testing & Experimentation: Designed experiments for product launches, defining success metrics and frameworks across losses, collections, and marketplace KPIs. Automation & Analytics Engineering: Created end-to-end Python/SQL workflows and self-serve dashboards that cut escalation resolution from 48 hours to 10 minutes. GenAI & Advanced Analytics: Developed LLM-powered analytics agents trained on business logic, enabling faster root-cause analysis and improved analyst productivity. Executive Reporting: Built Power BI, Looker Studio, and Google Sheets dashboards tracking marketplace, financial, and operational metrics for leadership reviews. πŸ”§ TECHNICAL SKILLS: SQL (BigQuery) | Python (Pandas, NumPy, LangChain) | Power BI | Looker Studio | A/B Testing | Hypothesis Testing | Regression | GenAI/LLMs | ETL | Selenium | API Integration πŸ“Š MY APPROACH: I partner with leadership, product, and operations teams to translate data into strategies that drive revenue, reduce costs, and scale operations. My focus is building systems that shift teams from reactive reporting to proactive decision support. Whether launching products, optimizing marketplace dynamics, preventing fraud, or building AI-powered analytics, I thrive where analytics directly influences business outcomes. πŸš€ SEEKING: Senior Data Analyst, Business Analyst, and Senior Business Analyst roles leveraging fraud analytics, experimentation, automation, and GenAI to drive measurable business growth. πŸ“§ rishabhsengar098@gmail.com | Bengaluru | Open to remote #DataAnalytics #SQL #Python #PowerBI #FraudAnalytics #ABTesting #GenAI

Experience

2 yrs 10 mos
Total Experience
1 yr 3 mos
Average Tenure
3 mos
Current Experience

Exl

Lead Assistant Manager - Analytics

Feb 2026 – Present Β· 3 mos Β· Gurugram, Haryana, India Β· Hybrid

Uber

2 roles

Senior Data Analyst (via Indium)

Promoted

May 2025 – Jan 2026 Β· 8 mos

  • Led fraud analytics, product experimentation, and automation initiatives across Uber’s marketplace, delivering $1M+ in annual loss reduction and measurable improvements in driver retention and operational efficiency.
  • Built Python/SQL-driven fraud detection systems and LLM-based monitoring workflows (LangChain, LangGraph), shifting teams from reactive investigations to proactive daily fraud alerts
  • Delivered ~$1M+ annual loss reduction through data-driven fraud prevention, pattern detection, and preventive analytics guardrails
  • Owned analytics for major product launches (Driver Subscription, Partial Payments), defining success metrics and experimentation frameworks across losses, collections, and marketplace KPIs
  • Increased driver reactivation by 20% and reduced churn by 15% through cohort analysis, incentive experimentation, and A/B testing strategies
  • Automated end-to-end driver escalation workflows using Python, SQL, APIs, Google Forms, and Google Sheets, cutting resolution time from 48 hours to under 10 minutes
  • Eliminated 150+ hours/month of manual analyst effort by building automation-first analytics workflows and self-serve reporting systems
  • Developed GenAI-powered analytics agents trained on team SQL and business logic, enabling ~70% automation of recurring queries and improving analyst productivity
  • Delivered Power BI, Looker Studio, and Google Sheets dashboards tracking marketplace and financial KPIs across cities and vehicle types for leadership decision-making
  • Partnered cross-functionally with product, operations, and engineering teams to translate business requirements into scalable analytics solutions
  • Recognized with Quarterly Performance Award (2Γ—) for delivering high-impact analytics, automation, and fraud prevention initiatives
  • Tech: SQL (BigQuery), Python (LangChain, LangGraph), Power BI, Looker, A/B Testing, GenAI/LLMs
SQLPythonPower BILookerA/B TestingGenAI/LLMs+1

Data Analyst (via Indium)

Jun 2024 – May 2025 Β· 11 mos

SQLLarge Language Models (LLM)

Masai

Data Analyst

Jun 2023 – Jun 2024 Β· 1 yr Β· Bengaluru, Karnataka, India Β· Remote

  • Built analytics infrastructure and automation frameworks supporting data-driven decision-making across admissions, student success, and operations teams.
  • Developed and deployed 15+ KPI dashboards using Power BI and SQL for 20+ business stakeholders across admissions, student success, and operations teams, improving reporting accuracy by 25% through data validation frameworks
  • Automated data collection and recurring reporting workflows using Python (Pandas, NumPy) and scheduled batch jobs, reducing manual effort by 150+ hours monthly and eliminating human error in business reports
  • Built automated grading systems using Python and Pandas that saved approximately 90 man-hours per month and improved grading efficiency by 75%
  • Collaborated cross-functionally with admissions, student success, and operations teams to translate business requirements into actionable dashboards and self-serve analytics solutions
  • Designed data validation frameworks and quality checks ensuring accuracy and reliability of metrics used for strategic decision-making across the organization
  • Tech Stack: Power BI, SQL, Python (Pandas, NumPy), Excel, Data Validation, ETL, Batch Automation
Power BISQLPythonExcelData AnalysisAutomation

Freelancer.com

Freelance Data Analyst & Automation Specialist

Jun 2022 – Jun 2023 Β· 1 yr Β· Delhi Β· Remote

  • Delivered Python-driven data analytics, automation, and ETL solutions for global clients across multiple domains, enabling faster decision-making and operational efficiency.
  • Built Python/Selenium automation improving operational efficiency by 60% and saving 100+ hours monthly for clients
  • Created AWS solutions (S3, Glue, Athena) reducing infrastructure costs by 23% and improving data access speed by 40%
  • Developed ETL workflows and web scraping solutions transforming raw data into actionable insights
  • Tech: SQL, Power BI, Excel, Python (Selenium, Pandas), AWS (S3, Glue, Athena), ETL
SQLPower BIPythonAWSData AnalysisAutomation

Education

Doon Business School

Bachelor of Business Administration - BBA β€” International Business

Aug 2019 – Aug 2022

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