Capital Structure Optimizer Using Weighted Cost of Capital (WACC)
Summary:Created a tool to model capital structure scenarios and calculate optimal leverage using WACC minimization. Incorporated tax shields, credit spreads, and industry comps to support investment banking structuring decisions. Github
Credit-Card Fraud Detection
Credit-Card Fraud Detection System using ML Overview:This project focuses on detecting fraudulent credit card transactions using advanced machine learning techniques. Leveraging a neural network with entity embeddings for categorical variables, the system was designed to handle an imbalanced dataset containing over 1.5 million transactions from 953 unique customers. The objective was to improve fraud detection […]
College Chat Bot
College Chat Bot Overview:I led the creation of an AI-powered chatbot designed to assist students with inquiries about the “Professional Seminar 2” course. The project utilized advanced AI techniques, including Retrieval-Augmented Generation (RAG), to provide accurate and contextually relevant responses. Github here
Spam Detection with LSTM and Attention
Spam Detection with LSTM and Attention Summary: Developed a spam detection system using a neural network with Long Short-Term Memory (LSTM) layers and an attention mechanism. This project aimed to classify emails as spam or not spam, leveraging advanced deep learning techniques to capture and analyze the contextual information in email texts. Github
Image-Captioning-with-ViT-GPT2
Image-Captioning-with-ViT-GPT2 Summary Engineered an advanced image captioning system that seamlessly combines a Vision Transformer (ViT) and GPT-2 to generate highly descriptive and contextually relevant captions for images. This project showcases the integration of state-of-the-art deep learning models to bridge the gap between visual data and natural language, enabling the automatic generation of meaningful descriptions from […]
Options Pricing Engine with Black-Scholes & Monte Carlo
Options Pricing Engine with Black-Scholes & Monte Carlo Summary:Built a Python-based options pricing engine using Black-Scholes and Monte Carlo simulations. Compared closed-form and stochastic outputs across market conditions, visualizing volatility impact on premium sensitivity. Github
FX Forward Arbitrage Detection Tool
FX Forward Arbitrage Detection Tool Summary:Designed a real-time FX arbitrage calculator that flags mispricings between spot and forward markets. Applied covered interest parity principles and Bloomberg data APIs to generate tradeable FX forward recommendations. Github
Trading Strategy Backtester: Momentum vs. Mean Reversion
Trading Strategy Backtest: Momentum vs. Mean Reversion Summary:Developed a backtesting framework in Python to simulate and evaluate momentum and mean reversion trading strategies using historical equity data. Achieved Sharpe ratio improvements by integrating volatility filters and dynamic stop-loss rules. Github