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Chirag Lakhanpal

Chirag Lakhanpal

Data Manager and Data Scientist

chirag-lakhanpal
Joined March 2026
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Summary

Applied graph-based machine learning researcher and practitioner: contributed to a capstone and subsequent publications that evaluate graph neural networks alongside classical and deep learning approaches for fraud detection. gwu+2
Bridges industry and academic data science: has held multiple industry data science roles (TCS, PCORI, Enhesa) while completing graduate research and teaching roles at George Washington University. theorg+2
Strong academic performance in data science: completed an MS in Data Science with a high GPA and participated in capstone projects that led to publishable research. gwu+1
Maintains a public project and analysis portfolio demonstrating hands-on applied modeling work, including predictive modeling shared via RPubs. rpubs

Work

Education

Projects

Writing

Detecting Illicit Massage Businesses by Leveraging Graph-based Learning (IJCAI proceedings)

January 1, 2025

Conference paper listing related graph-based learning work (proceedings PDF referenced among the verified materials).

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Leveraging graph-based learning for credit card fraud detection: a comparative study of classical, deep learning and graph-based approaches

September 1, 2024

Comparative study demonstrating the application of classical machine learning, deep learning, and graph neural networks for credit card fraud detection; discusses datasets, graph representations, and challenges like data imbalance.

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