Project Portfolio

A machine learning project exploring if the authenticity of news articles can be determined using only textual content through NLP, classification models, and clustering.

A career-analytics platform that identifies the gap between a candidate’s current skill set and the requirements of their target roles using NLP and graph-based analytics.

Trained a Pac-Man agent using reinforcement learning techniques to play autonomously and maximize its score through self-play and strategic decision-making.

This project aimed to predict heart failure using 11 cardiovascular-related features.

Analyzed how economic freedom impacts a country’s development using extensive preprocessing, EDA, and algorithms such as PCA, FA, and clustering.

Analyzed European options for arbitrage opportunities via Black-Scholes and developed a delta hedging strategy for the MSCI World Index.

Programmed a 2D Super Mario Bros game in Python, featuring custom classes and sprite rendering.

A collection of optimization algorithms, including TSP solutions with interactive map visualizations and finance-oriented portfolio risk/return simulations.

Applied decision trees and random forests in R to predict Titanic survival, accompanied by exploratory data analysis reports.

Built a comprehensive Excel dashboard to analyze Titanic passenger data using dynamic graphs and solver functionalities.

An Android application developed in Kotlin that allows users to log bathroom visits, track digestive habits, and engage with friends through gamified social leagues.

A full-stack web application built with Flask and SQLAlchemy that allows users to discover, share, and interact with cooking recipes.

Developed an autonomous line-following robot using the STM32L152RCTX Discovery Board, following a 4-phase modular progression from GPIO control to advanced motor logic.

Designed and simulated a two-stage balanced RF amplifier at 4.5 GHz using AWR Microwave Office, optimizing gain, noise figure, and stability.