Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
Generic

Stalin Mathias

Fraud Analyst
Thane

Summary

Results-driven Fraud Analyst with expertise in fraud detection, transaction monitoring, SQL, Python, and risk analytics. Proven ability to identify suspicious patterns, improve fraud monitoring efficiency by 25%, and reduce false positives by 15% through data-driven decision-making and process optimization. Combines technical analytics, compliance awareness, and cross-functional collaboration to strengthen fraud prevention frameworks within financial services environments.

Overview

5
5
years of professional experience
7
7
Certifications

Work History

Fraud Analyst

Kotak Mahindra Prime Limited
02.2025 - Current
  • Investigate and prevent 100+ suspicious transactions monthly using fraud-risk scoring, transaction monitoring, and pattern recognition techniques.
  • Improved fraud identification efficiency by 25% through automation of reporting workflows using SQL, Excel, SAS, and fraud-monitoring tools.
  • Conduct detailed root-cause analysis and collaborate with compliance and operations teams to strengthen fraud prevention controls and regulatory adherence.
  • Enhanced fraud detection systems and trend analysis, contributing to a 15% reduction in false positives and improved operational accuracy.

AI/ML Intern

Gaude Business & Infrastructure Solutions
06.2023 - 01.2025
  • Built and optimized machine learning models using Python, TensorFlow, PyTorch, and Scikit-learn to support predictive analytics initiatives.
  • Performed exploratory data analysis, feature engineering, and preprocessing to improve model performance and business insights.
  • Developed reusable automation scripts and data pipelines, improving workflow efficiency and reproducibility across projects.

Associate Software Engineer

Ganesh Multitech Engineering
01.2021 - 10.2021
  • Reduced post-deployment defects by 30% by improving testing automation, debugging workflows, and development procedures.
  • Collaborated with product and technology teams to streamline delivery timelines by 15% through process optimization.

Education

International Business Management - Merit

Oxford Brookes University
UK
01-2023

Bachelor of Engineering - Information Technology

St. Francis Institute of Technology
Mumbai
01-2021

Skills

  • Fraud Detection & Risk Analysis
  • Transaction Monitoring & Compliance
  • Root Cause Analysis & Reporting
  • Stakeholder Collaboration
  • SQL, Python, SAS, Excel
  • Machine Learning & Data Analysis
  • Process Improvement & Automation
  • Risk Scoring & Pattern Recognition

Certification

AWS Data Analytics

Timeline

Fraud Analyst

Kotak Mahindra Prime Limited
02.2025 - Current

AI/ML Intern

Gaude Business & Infrastructure Solutions
06.2023 - 01.2025

Associate Software Engineer

Ganesh Multitech Engineering
01.2021 - 10.2021

Bachelor of Engineering - Information Technology

St. Francis Institute of Technology

International Business Management - Merit

Oxford Brookes University
Stalin MathiasFraud Analyst