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 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

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

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

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

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 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