I’m a recent Electrical Engineering graduate from IIT Ropar, passionate about leveraging data and product thinking to solve business problems and build user-centric solutions. I’ve developed skills in data analysis, process automation, and building dashboards to uncover insights and support better decision-making. I’m also experienced in defining product outcomes, identifying user needs, and aligning features with broader business goals. I’m eager to connect and explore opportunities in Product Management, Data Analysis, and other roles where I can apply my skills, keep learning, and contribute meaningfully.
An analysis of a Spotify dataset using SQL, focusing on data normalization, complex queries, and query optimization to derive insights and handle large datasets efficiently.
This project focuses on optimizing supply chain operations through data-driven analysis. It provides insights into product trends, revenue growth, and storage optimization, helping companies scale efficiently. The project includes data analysis, visualizations, and recommendations to enhance supply chain strategies based on customer preferences.
Open-source web app for managing CSRs and issuing X.509 certificates in a small PKI. Built with Node.js, React, and PostgreSQL, it offers user/admin dashboards, secure authentication, and email notifications. Perfect for lightweight PKI setups.
Compared the performance of Spiking Neural Networks (SNNs) and Convolutional Neural Networks (CNNs) on image recognition tasks. It includes implementations, datasets, and experiment results for evaluation.
Developed a project to enhance blurred images using advanced image processing techniques for improved clarity, sharpness, brightness and contrast.
Built a project using Dijkstra’s algorithm to determine the minimum number of railway stations required for a journey in Mumbai local. Developed a website that takes the starting and destination station numbers as input and calculates the shortest route with the fewest stations efficiently.