CRISC Notes.

This project provides a powerful tool for stock market analysis and portfolio management, combining multiple forecasting models, technical analysis, and risk management features. Built with modern Python libraries and Streamlit for an intuitive user interface.

This project aims at analyzing the risk appetite of banks. When the company receives a loan application, the company must decide for loan approval based on the applicant’s profile. Exploratory Data Analysis using excel was performed to draw insghts.

A summary dashboard of the Covid-19 cases in Italy (online version)

High-dimensional loan transaction data. By reducing the dimensionality of the dataset, patterns were identified to help a financial institution mitigate risks such as loan defaults or early repayments. Key steps include data preprocessing, PCA implementation, and interpretation of principal components to uncover significant insights.

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CS6501 Information Security 2

Excel sheet belonging to the CISO Says: Lies! blog series about Qualitative Risk Assessment in IT.

performing credit risk analysis using machine learning techniques to predict the likelihood of default

Developed a comprehensive Risk Mitigation Log identifying, assessing, and addressing potential project risks for the DIA Baggage Handling System. Categorized risks by probability and impact, defined mitigation strategies, assigned ownership,and allocated budget to ensure proactive management and minimize disruptions throughout project lifecycle.