Vignesh Pandi

Data Engineer

Chennai, Tamil Nadu, India10 yrs 1 mo experience

Key Highlights

10 years of experience in fraud analytics.
Expert in SQL and Python for data extraction and analysis.
Proven track record in reducing false positives in fraud detection.

Stackforce AI infers this person is a Fintech Fraud Analyst with strong data analytics and machine learning skills.

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Skills

Core Skills

Fraud DetectionData AnalysisMachine LearningFraud AnalysisRisk ManagementFraud Operations

Other Skills

SQLPythonLogistic RegressionRandom ForestXGBoostTableauData CleaningFeature EngineeringAccount Takeover PreventionCase DocumentationFraud Pattern IdentificationCard-Not-Present FraudArtificial Intelligence (AI)Prompt Engineeringgradio

About

I'm a Fraud Data Analyst with 10 years of experience across Indian and US financial institutions, currently at Tata Consultancy Services (TCS). My career started in fraud operations — monitoring credit/debit card fraud, account takeover (ATO), and card-not-present (CNP) transactions at HDB Financial Services. I then moved into US banking fraud at Cognizant, where I handled wire transfer, Zelle, and check fraud for American clients. Now I work on the data and analytics side — extracting data with SQL, cleaning and engineering features with Python, and building machine learning models (Logistic Regression, Random Forest, XGBoost) to reduce false positives in fraud detection. I'm passionate about using data to solve real financial crime problems. My GitHub has my Credit Card Fraud Detection project if you'd like to see my work. Open to Data Analyst and Fraud Analytics roles.

Experience

10 yrs 1 mo

Total Experience

Average Tenure

Current Experience

Tata consultancy services

Fraud Data Analyst

May 2024 – Present · 2 yrs 1 mo · Chennai · On-site

Extracted large datasets from production databases using SQL; performed data cleaning and feature engineering using
Python to prepare data for fraud detection modeling.
Built credit card fraud detection models using Logistic Regression, Random Forest, and XGBoost; reduced false
positive rates and improved overall detection accuracy.
Developed Tableau dashboards to visualize fraud trends and model performance metrics for operations and risk
stakeholders.

SQLPythonMachine LearningLogistic RegressionRandom ForestXGBoost+3

Cognizant

Senior Fraud Analyst

Mar 2020 – May 2024 · 4 yrs 2 mos · Chennai · On-site

Monitored US customer accounts for account takeover (ATO) and fraudulent account opening using rule-based
platforms, analyzing device ID, ISP, country of login, and existing fraudulent device signals.
Investigated wire transfer, Zelle, and check fraud cases; executed timely account blocks to prevent financial loss and
created detailed case documentation for investigation teams.
Identified emerging fraud patterns and contributed insights that informed detection rule updates, improving alert
precision across the platform.

Account Takeover PreventionFraud DetectionCase DocumentationFraud Pattern IdentificationFraud AnalysisRisk Management

Hdb financial services ltd.

Junior Fraud Analyst

May 2016 – Mar 2020 · 3 yrs 10 mos · Chennai · On-site

Monitored credit and debit card transactions using rule-based fraud detection applications, identifying suspicious
activity via device ID, IP address, and customer login behavior.
Specialized in card-not-present (CNP) fraud and account takeover (ATO) detection; blocked compromised cards to
prevent customer financial loss from fraudsters.
Investigated fraud cases end-to-end — customer verification, card blocking, and internal coordination for reissuance —
while maintaining detailed fraud logs for rule refinement.

Fraud DetectionCard-Not-Present FraudAccount Takeover PreventionFraud OperationsRisk Management