Built a Power BI dashboard that reduced player scouting time by 8%, providing real-time insights on player statistics across agents and maps based on past tournament data. Analyzed a dataset of over 80,000 entries with diverse variables, offering comprehensive insights into player performance and strategic decisions.

Designed a platform using supervised machine learning techniques to predict subway delays, improving the commuter experience in Toronto by 15%. Executed ETL processes and conducted Exploratory Data Analysis (EDA) using Python and SQL, uncovering critical patterns that enhanced insights into delay factors.

Optimized GitHub account switching with a command-line app with seamless integration into npm, reducing manual switch time by 50% through an intuitive menu and safeguards for default accounts.

Creator-IT is SEO optimisation and recommendation website for Youtubers, Instagram creators and other platforms creators. Helps content creators in generating video titles, hashtags and much more.

This project aims to delve into customer churn within a company primarily operating in California. By analyzing different factors influencing customer attrition, we seek insights to guide strategic decision-making and improve efforts in retaining customers.

This project is focused on the analysis of the the Airbnb's Real Estate Listings dataset which is avaiable on kaggle.

The project is dedicated to addressing students inquiries and enhancing transparency between faculty members and students. There has been an 80% reduction in resolution time. The applications involved are IndusAchiever, IndusFaculty, and AdminPortal.

Developed a Python-based Mobile Phone Price Prediction model for accurate forecasting of mobile phone prices, enhancing decision-making in the tech market.