Ayan Mukherjee
@ayanmukherjee
I build fraud analytics, deployed rules, and BI dashboards for marketplaces.
IndiaWhat I'm looking for
At LatentView Analytics, I own fraud-risk analytics for Lyft's rider and driver marketplace, partnering on rule design, deployment, and post-launch monitoring.
I've used advanced SQL and Python to build predicate-based fraud rules deployed through Git workflows, reducing losses by approximately $246.5K per week. I also designed whitelisting rules that reduced friction for around 2 million users per week and unlocked approximately $125K per week in revenue.
I build and ship monitoring dashboards in Mode Analytics, Hex, Tableau, and Power BI, and developed an agentic AI system for autonomous fraud-rule optimization and sunsetting.
Earlier at EY GDS, I built a cyclic-payment prediction model with 99.3% accuracy and automated weekly cash forecasting to save six hours. I also build explainable ML systems, including a stock-prediction platform with SHAP diagnostics and walk-forward validation.
Experience
Work history, roles, and key accomplishments
Risk and Fraud Analyst
LatentView Analytics
Jan 2025 - Present (1 year 7 months)
Owns fraud-risk analytics for a segment of Lyft's rider/driver marketplace, partnering with Analytics Managers on rule design, ETL/data-pipeline support, deployment, and post-launch monitoring. Built an agentic AI system for autonomous fraud-rule optimization and sunsetting, improving precision and expanding loss coverage.
Technology Transformation Intern
EY GDS
May 2023 - Jul 2023 (2 months)
Designed a model to analyze and predict cyclic payments based on receipts and tax filings with 99.3% accuracy. Automated a process and saved the firm 6 hours on weekly cash forecasting.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
Bachelor of Technology, Computer Science with AI and ML
2020 - 2024
Grade: 8.54 CGPA
Pursued a Bachelor of Technology in Computer Science with a specialization in AI and ML, achieving a CGPA of 8.54.
The PSBB Millennium School
AISSCE (12th Board), Computer Science with Mathematics
Grade: 94.2%
Completed higher secondary education (AISSCE) with a focus on Computer Science and Mathematics, achieving a percentage of 94.2%.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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