---
title: "Parag Pawar - Fraud Detection Engineer in Pune District | Tal"
description: "Meet Parag Pawar, Data Scientist & AI/ML Engineer | GenAI, RAG & Predictive Modeling | SQL · Python · Power BI based in Pune District."
image: "https://tal.club/meet/parag-2/share-image"
---

# Parag Pawar on Tal

## Headline

Data Scientist & AI/ML Engineer \| GenAI, RAG & Predictive Modeling \| SQL · Python · Power BI

## About

I like turning messy data into decisions someone can act on — that's the thread through everything I build, from fraud models to churn pipelines\. Final\-year Computer Engineering student at BSIOTR \(SPPU\), focused on data systems, predictive modeling, and analytics engineering\. A few things I've built: Fraud Architecture: A hybrid XGBoost \+ Isolation Forest model hitting 96\.7% detection during a virtual externship\. AI Engineering: A Flask\-based RAG pipeline with semantic search \+ speech\-to\-text translation modules\. Business Analytics: A churn analytics pipeline that isolated ₹1\.39L/month in at\-risk revenue using SQL and Power BI\. Core Toolkit: Python, SQL \(CTEs, window functions\), Power BI/DAX, Scikit\-learn, PostgreSQL, ChromaDB\. Open to Data Analyst / Data Science internships and full\-time roles for 2026\-27\. Always happy to connect — feel free to message me or reach out at paragpawar0077@gmail\.com

## Location

Pune District

## Work experience

Fraud Detection Engineer at Zetheta Algorithms Private Limited, Feb 2026 \- Mar 2026 · 2 mos, Remote, • Developed a hybrid fraud detection system using XGBoost and Isolation Forest\. • Built an end\-to\-end anomaly detection pipeline for financial transaction analysis\. • Performed feature engineering, threshold tuning, and model evaluation\. • Achieved a fraud detection accuracy of 96\.7%\. • Implemented the solution using Python, Scikit\-learn, and XGBoost\.

Open Source Contributor at Free\-TV, 2026 \- 2026 · Less than a year, Remote, • Contributed to the Free\-TV/IPTV open\-source project by resolving repository issues\. • Fixed broken IPTV stream mappings and updated playlist entries through GitHub pull requests\. • Collaborated with project maintainers through code review and the pull request workflow\. • Used Git and GitHub to contribute to a repository with 18k\+ stars and 2k\+ forks\.

## Education

Savitribai Phule Pune University \(SPPU\)

Bachelor of Engineering, Computer Engineering, Bhivarabai Sawant College of Engineering & Research

[View the original profile](https://tal.club/meet/parag-2)

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