I enjoy making things. Here are a selection of projects that I have worked on over the years.
This project compares AI-related discussions across Reddit and YouTube using API-based data collection, temporal engagement analysis, and trend forecasting. It highlights community behaviors, identifies peak posting times, and predicts future interest in key AI technologies.
This interactive dashboard analyzes electric vehicle sales and trends across manufacturers and countries. Built in Tableau, it uncovers regional market performance, highlights top-selling models, and helps interpret the dynamics driving global EV adoption.
This Tableau dashboard visualizes sales and profit trends across product categories, regions, and time. It helps uncover underperforming segments, guides strategic pricing and discounting decisions, and supports executives in driving revenue growth.
This project explores audience engagement and video performance on a YouTube channel using natural language processing, clustering algorithms, and visualization tools. It identifies content themes, viewer sentiment, and publishing patterns that drive high-performing videos.
PitchSense is an AI-powered speech analysis tool that provides real-time feedback on vocal delivery and pitch dynamics. Designed for speakers, presenters, and communicators, it uses machine learning and acoustic signal processing to evaluate tone, emotion, and modulation—offering insights to refine and enhance persuasive communication.
