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Parag Pawar

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

Pune District

< 1 year of work experience

Zetheta Algorithms Private Limited
Feb 20262 mosMar 2026

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.
Free-TV
2026Less than a year2026

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)

Savitribai Phule Pune University (SPPU)

20232023
Bhivarabai Sawant College of Engineering & Research

Bachelor of Engineering, Computer Engineering

Bhivarabai Sawant College of Engineering & Research

20234 yrs2027

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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

Parag Pawar - Fraud Detection Engineer in Pune District | Tal