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amazon_3statement-model
April 26, 2026 – Present
This repository contains my first attempt at building a 3-statement financial model using Amazon’s financial data (2021–2025). It includes all 3 the statements with basic linkages between them. The model is a work in progress and will be improved with better assumptions, error checks, and more dynamic structuring over time.
View Projectmultidimensional-financial-vulnerability-index
April 21, 2026 – Present
Multidimensional Financial Vulnerability Index (MFVI) for women in India using NFHS-5 data. Combines Alkire-Foster methodology, PCA validation, econometric models (OLS, LPM, Oaxaca), and intergenerational analysis to study structural financial vulnerability.
View Projectfinancial-risk-stress-testing-model
April 21, 2026 – Present
7-layer financial risk modeling pipeline using Python, XGBoost, and advanced Excel for data cleaning, feature engineering, macroeconomic regime detection, and scenario-based stress testing.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate an interest in both traditional financial modeling and socio-economic data analysis, suggesting a diverse intellectual curiosity. The personal nature of all projects indicates self-motivation. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit within a collaborative work environment. The projects align with a quantitative analysis role, but the 'Data Scientist' target role typically requires stronger programming and machine learning depth beyond what is explicitly shown.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and analytical approach to problem-solving. The 'amazon_3statement-model' project, though a work in progress, shows an iterative mindset and a willingness to learn and improve. However, without psychometric test results, a comprehensive assessment of soft skills and operational fit is not possible.