Data Science Enthusiast
Specializing in Machine Learning, Big Data Analytics, and AI Applications. Passionate about transforming data into actionable insights.
I'm a passionate Data Science enthusiast currently pursuing an MSc in Data Science at the University of Greenwich, London. With a Bachelor's in Computer Engineering from M.H. Saboo Siddik College of Engineering (GPA: 9.29/10), I bring a strong foundation in both theoretical and practical aspects of data science.
My experience includes working as a Software Engineer at Kclub Technology and a Project Intern at the Tata Institute of Fundamental Research, where I built dynamic applications and integrated cutting-edge technologies. I specialize in developing ML models, creating data visualizations, and building end-to-end AI applications.
When I'm not coding or analyzing data, you'll find me traveling, playing football, or exploring new skills.
Built real-time emotion detection system using CNN to classify 7 emotions and integrated Spotify API to recommend personalized songs based on detected emotions.
Machine learning model to classify petition topics into 7 categories using LinearSVC and TF-IDF vectorization. Achieved 91% accuracy with advanced text preprocessing, tokenization, and hyperparameter tuning using GridSearchCV.
Designed Computer Vision algorithm for panorama stitching using SIFT keypoint detection, matching, RANSAC, and Homography matrices.
Created interactive Tableau dashboards and scatter plots analyzing customer overhead costs from large datasets with dynamic exploration features.
Developed gesture recognition system using cameras and sensors to aid communication for deaf and mute individuals through ML technologies.
Created real-time cryptocurrency price tracker with live data from major exchanges, featuring search functionality and dynamic price updates.
Implemented a cryptographically secure One-Time Pad encryption and decryption system. This project demonstrates perfect secrecy in cryptography using random key generation and XOR operations.
Currently pursuing advanced studies in Data Science, focusing on Machine Learning, Big Data Analytics, and AI applications.
GPA: 9.29/10 - Graduated with honors, specializing in Machine Learning and Computer Vision.
Organized technical events and workshops to foster technology learning and innovation among students.
Managed budgeting and financial reporting for entrepreneurial events and initiatives.
Mentored underprivileged students in Arduino and electronics, contributing to educational outreach programs.