riskanalytics

Risk Analysis of SEC 10-K Documents using OpenAI o1 Reasoning Models

In this project, you will analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.

This case study provides a practical application of EDA techniques in a real business context. Beyond utilizing EDA methods, the goal is to foster a fundamental comprehension of risk analytics within the banking and financial services sector. The focus extends to understanding the role of data in mitigating financial risks associated with lending.

This project demonstrates portfolio optimization and risk analysis using Python. Analyzed 5 major US stocks (AAPL, JNJ, JPM, MSFT, TSLA) for daily closing prices in 2025,to find the optimal portfolio allocation maximizing the Sharpe Ratio.

Automated IFRS 9 ECL calculation system with Python, BigQuery, and SQL analytics

This repository showcases a collection of my data analytics and machine learning projects. It includes end-to-end workflows covering data cleaning, exploratory data analysis (EDA), feature engineering, modeling, and visualization using tools such as Python, R, Tableau, and SQL.

Real-Time Market Regime & Risk Monitoring Platform using machine learning, live market data, and portfolio risk analytics.

Third-party vendor risk assessment and risk scoring model using SQL and Excel to simulate real-world TPRM and GRC workflows

Credit risk analytics workflow covering SQL exploration, credit scoring, model validation, SHAP explainability, counterfactual review and Monte Carlo stress testing.

Evaluating the effectiveness of Unichain's MEV framework (maybe mention Rollup-Boost and Flashblocks), quantifying how much MEV is redistributed to users versus captured by others, and comparing these metrics to other L2 solutions.

Config files for my GitHub profile.