Ashok Suthar

About Ashok Suthar

I’m a Staff Data Scientist in PayPal’s Transaction Risk Loss & Experience domain, building measurement, forecasting, and causal evaluation systems that help teams balance fraud loss with customer experience at global payments scale.Over 9+ years across product + services, I’ve built standardized risk KPIs, forecasting frameworks, and experimentation approaches that inform policy and operational decisions across risk and ops teams.Core focus areas:• Fraud risk measurement & forecasting (multiple fraud MOs and different PayPal products)• Cost of Risk Actions on good customers (false positives) to Business KPIs (Revenue/margin) • Causal measurement (control groups, A/B tests, robust attribution)• Contact reasons + workforce demand forecasting for risk operationsI enjoy building from India for global scale, and I’m particularly interested in practical, rigorous applications of GenAI/agentic systems in transaction risk and customer experience.

Experience

1. Staff Data Scientist

   PayPal

   Apr 2025 — Present

   Own measurement strategy for Transaction Risk Loss & Experience, aligning risk, ops, and stakeholders on KPI definitions, evaluation standards, and decision guardrails- Led standardization of fraud risk measurement & forecasting across multiple PayPal products / fraud MOs, enabling cross-functional planning and consistent policy decisions- Built forecasting frameworks (time-series + driver-based / scenario approaches as applicable) to support weekly/monthly outlooks and operational readiness- Developed measurement framework for Cost of Risk Frictions on Good Customer Experience: quantifying impact of risk actions on good customers (false positives / friction) and connected outcomes to business KPIs (e.g, revenue/margin)- Designed and governed causal measurement for policy/product changes using control groups and A/B tests; ensured attribution was robust and decision-ready for product managers- Prototyping GenAI/agentic approaches for risk workflows (evaluation-first, privacy/controls aware), focusing on measurable improvements in decision quality.

Education

• Indian Institute of Technology (Indian School of Mines), Dhanbad

  Bachelor of Technology (B.Tech.), ELECTRICAL ENGINEERING

  2012 — 2016

Skills

• Bayesian Statistics
• Analytical Modelling
• Hive
• Power Systems
• Logistic Regression
• C
• Programming
• Statistics
• Microsoft Excel
• Robotics
• Cascading Style Sheets (Css)
• Html
• Tableau
• Pspice
• Electrical Engineering
• Hadoop
• Matlab
• Microsoft Sql Server
• Labview
• Store Management
• Simulink
• Algorithms
• R
• Business Analytics
• Simulations
• C++
• Engineering
• Aerospace
• Uav
• Data Structures
• Python