This project presents a comprehensive financial analysis of HDFC Bank using structured SQL queries. The dataset includes Profit & Loss, Balance Sheet, and Cash Flow statements from FY 2016 to FY 2025.

M&A analysis of HDFC Bank and HDFC Ltd merger including strategic rationale, synergies, financial impact and risk assessment. Demonstrates understanding of mergers and acquisitions and deal evaluation techniques used in investment banking.

This repository offers Python functions for financial risk and pricing calculations, including Parametric and Historical VaR for a portfolio of DLF, NTPC, and HDFC Bank, European option pricing via Monte Carlo simulation, and DV01 analysis for a 30-year puttable bond. These tools assist in risk management, option pricing, and bond evaluation.

Comprehensive financial study of HDFC Bank with ratio analysis, profitability trends, and visualization dashboards to evaluate efficiency and performance

Financial health analysis of HDFC Bank and competitors using Python & Pandas

This project analyzes the financial performance of HDFC Bank from 2021–2025, focusing on revenue, profitability, and NPA trends. It highlights the relationship between asset quality and returns using key ratios like Net Profit Margin and ROI, supported by Excel-based analysis and visualizations.

BBA Academic Project – Financial Analysis of HDFC Bank (2023)

5-year financial statement analysis of HDFC Bank using Excel and Tableau

The project involved evaluating HDFC Bank's financial health and performance using tools like ratio analysis, trend analysis, and SWOT analysis. Key metrics analyzed included profitability, liquidity, and asset quality. Insights into the bank’s stock performance, market position, and growth opportunities were provided.

Excel-based financial statement analysis evaluating profitability, leverage, and growth using key financial ratios and charts.

Merger model analyzing the HDFC Ltd and HDFC Bank merger with pro-forma financials and accretion/dilution analysis.

Comparative Financial Impact Analysis of SBI and HDFC (Pre vs Post COVID)

No description available

Time series analysis project on HDFC Bank focuses on examining historical financial data to identify trends and patterns. The project aims to provide actionable insights and accurate forecasting for better decision-making.

Repository Description (short version for GitHub) AI-powered Financial Analysis Dashboard built using Streamlit and Groq LLM. Users can analyze financial reports of Indian companies (e.g., Reliance, HDFC, Tata Motors), visualize trends with interactive graphs and charts, and export insights in PDF/XBRL formats.

Analyzed ICICI and HDFC's financial health using key ratios, DuPont analysis, and Benjamin Graham’s checklist. Assessed liquidity, profitability, and solvency across years. Built an interactive Excel dashboard with dynamic filters for company and time.

This repository contains Python scripts and Jupyter notebooks for analyzing the financial performance of Reliance, HDFC Bank and Tata Consultancy Services (TCS). The analysis includes data visualization, cumulative return calculations, and insights into market trends based on historical data.

Credit-Parser: A Python tool to extract key details from Indian credit card statements (HDFC, ICICI, SBI, Axis, Kotak) and output them in structured JSON format. Supports card info, billing cycle, payment due, and total amount due for easy financial analysis.

This project demonstrates portfolio risk management using Value at Risk (VaR) and Conditional Value at Risk (CVaR) for a two-stock portfolio of ICICI Bank & HDFC Bank. It combines financial theory with Python-based implementation for risk analysis, portfolio optimization, and visualization.

Our project automates the review of bank statements, reducing manual effort and errors. Users can upload HDFC or ICICI PDF statements, and the app extracts key details, lists transactions, and flags large or suspicious ones, providing a faster, accurate, and efficient financial analysis process.

Tech-powered stock analysis platform for Indian markets. Features real-time NSE data, interactive charts, financial metrics, news, ratings, and watchlists. Built with Flask, yfinance, Bootstrap 5, and ApexCharts. Covers 50+ major stocks like Reliance, TCS, HDFC Bank. Includes Google OAuth, caching, and load balancing. Run python run.py to start.

A Python-based tool to extract and parse credit card statements from HDFC and Chase banks. This parser is designed to automatically read PDF statements, extract relevant financial information, and present it in a structured, easy-to-analyze format. It is particularly useful for personal finance management, data analysis, and record-keeping.

The main objective of the project is to use Python, Linear Algebra, and real-world data to analyze how shocks in the market affect the stability of these financial institutions in India, such as SBI, ICICI, HDFC, and Axis Bank. We have to calculate Eigenvalues , Eigenvectors, etc in the project for the analysis.

This is a stock Market analyis tool. Here HDFC stocks were taken into consideration, the dataset was self acquired using Web scraping of news articles in yahoo financial news, and the stock closing prices from yahoo finance. Other factors such as Gold Prices,USD-INR Exchange Rates,Fuel Prices were also considered for better analysis stock movement