Projects
Welcome to my Project Portfolio. Here, I showcase a collection of projects that highlight my journey in the world of data science. From predicting trends to uncovering hidden patterns, each project reflects my passion for turning data into actionable insights. Join me as I explore diverse domains, utilizing data to tell compelling stories and drive informed decisions.
Unsupervised Anomaly Detection on Credit Card Fraud
This project highlights how I applied unsupervised learning to solve a real problem and extract insights from complex data. The goal of this project was to explore and apply unsupervised anomaly detection techniques, specifically auto-encoders and isolation forests, to identify unusual patterns or anomalies in credit card transactions.
Driver Drowsiness Detection using OpenCV and YOLOv5
This project focused on enhancing road safety by developing an AI-driven solution for detecting driver drowsiness. By leveraging Human Activity Recognition (HAR) and YOLOv5 we aimed to predict drowsiness based on facial cues like closed eyes and yawns. Through this project, we aimed to reduce accidents caused by drowsy driving.
Gauging User Engagement on Instagram News Media
This project aimed to uncover the factors driving engagement on social media. By analyzing the visual elements in the latest posts from news giants like Washington Post, CNN, and NY Times, the project sought to provide insights for content creators to enhance user interaction and optimize engagement strategies.
