About
👋 Hello! I'm a 🎯 Data Enthusiast with a passion for transforming raw data into actionable insights. I specialize in using analytics to drive meaningful solutions, with experience in diverse projects like predictive modeling, dashboard creation, and data migration. Let’s connect to explore how data-driven strategies can elevate your business!
Work Experience
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
SyncScribe AI
Transform your meetings into actionable insights with AI-powered transcription summaries and intelligent analysis.
Valorant Statistics
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.
TTC Subway Delay Prediction
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.
GitFlux
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
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.
Customer Churn Analysis
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.
Airbnb Real Estate Listings Analysis
This project is focused on the analysis of the the Airbnb's Real Estate Listings dataset which is avaiable on kaggle.
Indus Uni App
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.
Mobile Price Prediction
Developed a Python-based Mobile Phone Price Prediction model for accurate forecasting of mobile phone prices, enhancing decision-making in the tech market.
I like building things
During my time in university, I attended 3+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.
- G
GenAI Genesis 2025
Toronto, Ontario
Built a tool that transforms meetings into actionable insights using AI-powered transcription, smart summaries, and intelligent analysis. - T
Telus Data for Good
Toronto, Ontario
Developed a machine learning model to predict traffic congestion during the Taylor Swift Eras Tour in downtown areas. The model identified high-risk zones for congestion and provided actionable recommendations for traffic management, enhancing the flow and minimizing delays during the event - W
Walmart Hackathon
Toronto, Ontario
We proposed a model to prioritize store space allocation based on department sales efficiency and availability, addressing Walmart's challenge of reducing store size while maximizing product display to enhance product visibility in compact layouts.
Get in Touch
Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.