Z-measures for estimating the probability of bank insolvency

Evaluation of post-lockdown policies using social contacts and risk of professional exposure.

I built and evaluated several machine-learning models to predict credit risk using free data from LendingClub. I employed different techniques for training and evaluating models with imbalanced classes and used the imbalanced-learn and Scikit-learn libraries to build and evaluate models.

To identify customers who are more likely to default loan repayment

Vigilante Vixen has learned that there were many security vulnerabilities from their technical, behavioral, law, and human resources aspects. Despite us not being directly involved in offshore financial services or the legal profession, technology roles have a considerable amount of opportunity to review this case and implement security regulations

Set of utilities to manipulate datasets found in health care databases

Perform the financial risk analysis on a stocks portfolio, through Monte Carlo Simulation

This was made as a part of Machine Learning course at IIIT,Delhi.

A Whale off the Port(folio)

Develop a model for predicting fraudulent transactions for a financial company and use insights from the model to develop an actionable plan.

Construct own "Standardized Risk Weighting" system by mapping external credit ratings from other rating agencies like: DBMS, Moody, S&P, Fitch

In this project, we'll analyse data from italian stock market for bank stocks.

In this project, we aim to optimize the performance of retail chain stores by establishing control stores based on their performance compared to selected trial stores. By leveraging data analytics and strategic insights, we seek to enhance sales revenue and drive growth within the retail chain.

MADS Capstone - Power Grid Protagonists

A custom created application with a GUI utilizing Python and libraries PyPDF2 to scrape, scan and evaluate a person's funding capacity based on their PDF credit report.

Project as part of the course Introduction to risk modeling and management at the ETH Risk Center at ETH Zurich, held in spring 2024

Web-based visual event tree modeling editor (Extended Event Tree Editor)

Anonymized report from one of Safety AI's consulting projects