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This dataset contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan from April 2005 to September 2005. Submitted to GUVI (IITM)
Credit risk grading project using publicly available Kaggle data. The workflow includes data cleaning, feature engineering, training a PyTorch neural network model, and creating an interactive Tableau dashboard to compare model predictions with actual loan grades. This project focuses on analysis and modeling .
End-to-end analytics and decision-support engines across the global value chain. Bridging FinTech risk modeling, supply chain logistics, industrial process control (moisture optimization), and biological R&D to drive measurable business ROI.