Headline

Analytics Professional | NISM Certified (AML/CTF in IFSC)|IIITB| Turning Complex Data into Actionable Insights | Data Storytelling & Dashboarding

About

Data-driven Fraud Data Analyst with 7 years of experience specializing in payment fraud detection, transaction monitoring, and risk analytics across global technology and fintech platforms (LinkedIn, PayPal, Amazon). Proficient in translating massive, multi-channel transactional datasets into actionable risk-mitigation insights using SQL, Python, Databricks, and Snowflake. Expert in building predictive detection logic, developing automated risk workflows, and implementing interactive dashboards. Currently upgrading technical expertise through a Postgraduate Programme in Applied AI and Agentic AI at IIIT Bangalore to leverage machine learning and intelligent agents for next-generation automated fraud detection and anomaly analysis.

Location

Bengaluru

AI stack

claude

gemini

github copilot

lovable

ChatGPT

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Work experience

Fraud analyst at LinkedIn, Apr 2022 - Jul 2025 · 3 y 3 mo, Bengaluru, • Led comprehensive investigations into complex jobs abuse and risk-related escalations across LinkedIn's product offerings. • Utilized SQL and data analysis tools to monitor job posting activities and identify emerging fraud risks. • Collaborated with cross-functional teams, including Product, Engineering, and Legal, to enhance risk mitigation strategies. • Conducted reviewer calibration and coaching sessions to improve operational execution and adherence to industry standards.

Fraud Analyst at PayPal, Dec 2019 - Apr 2022 · 2 yrs 5 mos, Bengaluru, Karnataka, India, • Conducted comprehensive payment investigations to identify and mitigate fraudulent activities, ensuring secure transactions for users. • Collaborated with cross-functional teams to enhance buyer risk operations and improve anti-money laundering measures. • Engaged in holistic investigations to detect potential terrorist financing, contributing to a safer financial ecosystem. • Monitored and analyzed transaction data to identify emerging fraud patterns effectively.

Operations Analyst at PayPal, Jan 2019 - Feb 2022 · 3 yrs 2 mos, Utilized SQL-based analytical frameworks to perform structural root-cause analysis on high-risk transaction funnels, contributing directly to a 15% reduction in platform fraud loss. Evaluated and optimized chargeback monitoring workflows, utilizing data indicators to improve detection accuracy and decrease manual review volumes by 20%. Queried historical database records to perform AML-style transaction monitoring, improving documentation accuracy by 30% to fulfill regulatory standards. Engineered rule enhancements for internal fraud detection engines, maintaining high user transaction approval rates while tightening risk parameters.

Senior Risk Specialist at PayPal, Jan 2019 - Dec 2019 · 1 yr, Bengaluru Area, India, • Collaborated with cross-functional teams to enhance buyer risk operations at PayPal. • Conducted holistic investigations to detect potential terrorist financing, promoting a safer financial ecosystem. • Monitored and analyzed transaction data to effectively identify emerging fraud patterns.

Associate at Amazon, Aug 2018 - Dec 2018 · 5 mos, Bengaluru Area, India, • Conducted process audits and analyzed performance metrics to identify operational gaps, enhancing efficiency. • Maintained detailed case documentation and process trackers, ensuring compliance with standard operating procedures (SOPs). • Collaborated with cross-functional teams to streamline processes and improve overall operational performance.

Technical Support Engineer at 24 Seven Inc., Mar 2018 - Jul 2018 · 5 mos, Bengaluru Area, India

Education

Associate's Degree, Applied Ai & Agentic Ai, International Institute of Information Technology Bangalore

Post graduation in Data science and business analytics, Financial risk & Business analytics, The University of Texas at Austin

Public links

github: https://github.com/aabhishek341-max