Predicting the default customers
Building an PD, LGD and EAD Model for Financial Modeling.
Portfolio of course work for my Master's in Data Science.
To provide complete workflow from Inferential Analytics, Predictive Analytics, Prescriptive Analytics and Evaluate the performance of prescriptions
Build a predictive model to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.
Credit Risk analysis and predictive modelling of the German credit dataset. This repository holds all the R-scripts and markdown files for my report on the same
Collection of data science projects demonstrating machine learning and analytics skills
Performing Exploratory Data analysis for loan application approvals and understanding Risk analytics
Loan Defaulter's Prediction using Statistical Analysis
Big data analytics project analyzing truck fleet data to identify risk factors, dangerous driving patterns, and provide actionable insights for minimizing traffic accidents and improving fleet safety.
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