Anmol Khemka

Data Scientist

Bengaluru, Karnataka, India4 yrs 11 mos experience

Key Highlights

  • Reduced invoice fraud by 50% at PayPal.
  • Identified fraudulent transactions worth over $2M.
  • Designed automated pipelines for operational efficiency.
Stackforce AI infers this person is a FinTech data analyst with strong expertise in fraud detection and risk management.

Contact

Skills

Core Skills

Risk ManagementData AnalysisProduct AnalyticsFraud Analysis

Other Skills

A/B TestingAnalytical SkillsAnalytical SolutionsAnalyticsAnomaly DetectionAttention to DetailBigSQLBusinessBusiness AnalyticsBusiness ConsultingBusiness EngagementBusiness Impact AnalysisBusiness InsightsBusiness RequirementsCommercialization

About

Professional problem solver and idea generator. Skilled in turning coffee into code. I believe that laughter is the best medicine (except for actual medicine), and I bring that philosophy into my work. I'm always looking for new and creative ways to approach projects and make a difference.

Experience

4 yrs 11 mos
Total Experience
1 yr 10 mos
Average Tenure
1 yr 2 mos
Current Experience

Target

Senior Data Analyst

Apr 2025Present · 1 yr 2 mos

Paypal

Senior Data Analyst

Oct 2022Mar 2025 · 2 yrs 5 mos · India

  • Reduced invoice fraud by 50% by integrating cybersecurity modules at key seller lifecycle checkpoints, enhancing PayPal’s brand trust and improving inbox placement rate by 9%.
  • Optimized losses by 30% by detecting fraudulent seller activities using univariate/multivariate methodologies, creating a $27M annual revenue impact.
  • Took full ownership of reducing ATO (Account Takeover) fraud trends across multiple products leading efforts from data analysis to strategy development, rule writing, and post-deployment optimization.
  • Led high-impact risk management initiatives, reducing contact rates by 17% through the development of rule-monitoring dashboards, proactively detecting unwarranted seller restriction shifts and alerting rule owners to optimize anomalous rules.
  • Spearheaded strategic planning with Engineering, BI, and Strategy teams to design a unified control group for the seller onboarding journey, enabling more accurate risk strategy assessments using A/B testing.
  • Conceptualized, built, and maintained interactive data-driven dashboards, leveraging advanced
  • analytics techniques to provide actionable insights on model and non-model tool inventory, driving risk strategy improvements.
  • Owned and executed regular monitoring and deep-dive analysis of model & non-model tool usage metrics, identifying inefficiencies and driving continuous process enhancements.
Fraud AnalysisData AnalysisRisk Management PoliciesData ReportingKPI ReportingOptimization+9

Zs

Decision Analytics Associate

Jun 2021Oct 2022 · 1 yr 4 mos · Pune, Maharashtra, India · Hybrid

  • Designed, developed, and deployed an automated pipeline, significantly reducing manual effort for
  • multiple recurring jobs and improving operational efficiency.
  • Identified and prevented fraudulent transactions worth over $2M, uncovering ~50 fraudulent pharmacies
  • and prescribers, leading to improved fraud mitigation strategies.
  • Led and managed multiple product analytics projects, collaborating with cross-functional stakeholders to drive data-driven decision-making.
  • Defined and curated key objectives, business questions, and success metrics for stakeholders involved in the launch of a trial study, ensuring alignment with strategic goals.
Data AnalysisFraud InvestigationsProduct AnalyticsData ManagementCross-functional CollaborationsData Reporting+1

Education

Dwarkadas J. Sanghvi College of Engineering

Bachelor of Engineering - BE — Information Technology

Aug 2017May 2021

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