Available to hire
Results-driven Data Scientist with 9+ years of experience in fraud analytics, transaction risk analysis, machine learning, and data-driven decision-making across e-commerce and payment platforms. Skilled in Python, SQL, Pandas, NumPy, scikit-learn, XGBoost, Tableau, and Power BI to analyze high-volume transactional and customer datasets and identify anomalies and operational risk patterns.
Experienced in EDA, feature engineering, predictive modeling, classification, and fraud detection workflows supporting risk mitigation and operational efficiency. Background includes transaction monitoring, Account Takeover (ATO) analysis, and chargeback investigations from roles at PayPal, Amazon, and Lightspeed Commerce, with strong cross-functional collaboration to deliver actionable insights.
Skills
Experience Level
Work Experience
Data Scientist at Lightspeed Commerce
September 1, 2024 - PresentAnalyzed high-volume transaction, merchant, and customer datasets using Python, SQL, Pandas, and NumPy to identify payment anomalies, behavioral trends, and operational risk patterns across commerce platforms. Supported machine learning model development for anomaly detection and transaction risk classification using scikit-learn and XGBoost. Conducted EDA, statistical analysis, and feature engineering on structured and semi-structured datasets for predictive analytics and business decision-making. Built SQL queries and analytical workflows for data extraction, cleansing, validation, and transformation to improve reporting efficiency and data accessibility. Developed Tableau and Power BI dashboards to monitor fraud indicators, transaction trends, merchant performance, and operational KPIs. Evaluated classification model performance using precision, recall, F1-score, and ROC-AUC and performed ad-hoc analysis on payment failures and chargebacks. Collaborated with analytics, product, and
Risk Operations Agent IV at PayPal India Pvt Ltd
September 1, 2018 - August 31, 2023Contributed to a high-priority fraud mitigation pilot analyzing 8,000+ unauthorized Venmo account cases using SQL, Tableau, and internal risk investigation platforms (Jupiter/Cassini Mars). Identified IP-device clustering behaviors and stolen Amex first-transaction fraud patterns, enabling automated rule deployment that reduced manual reviews by 75% (8K to 2K cases) within 4 days and prevented approximately $550K in chargebacks. Performed large-scale transaction analysis across 350K+ PayPal payment events to detect Account Takeover (ATO) activities and supported rule optimization to reduce false positives by 11%, saving 150+ manual review hours per month. Conducted account-level risk assessments, investigated suspicious account activity and real-time payment transactions related to ATO, identity theft, cash advancing, spoof malware, collusion, and money laundering, and escalated high-risk cases for advanced review. Communicated fraud trends and investigation findings with product, oper
Transaction Risk Investigator at Amazon India Pvt Ltd
February 1, 2016 - August 31, 2018Supported buyer risk investigation operations focused on detecting fraudulent activities and minimizing transactional risk exposure while improving platform trust and safety. Conducted financial and behavioral investigations by reviewing customer profiles, transaction histories, payment activities, and fund movement patterns across products and services. Managed account-level risk reviews and portfolio monitoring using historical transaction analysis to identify abnormal behaviors, fraud indicators, and operational risk trends. Documented investigation findings, operational defects, tool limitations, and workflow enhancement recommendations in collaboration with IT, audit, and QA teams. Communicated potential fraud, abuse, and security risk patterns to customers and internal stakeholders and assisted in identifying suspicious account behaviors through manual investigations and policy-based risk assessments while maintaining compliance with operational procedures and investigation quali
Education
Graduate Certificate in Artificial Intelligence at Seneca College, Newnham
January 1, 2025 - July 14, 2026Graduate Certificate in Business Analytics at Seneca College, Newnham
January 1, 2024 - July 14, 2026Qualifications
Google Data Analytics Certification
January 11, 2030 - July 14, 2026Industry Experience
Financial Services, Retail, Software & Internet
Skills
Experience Level
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