Dhwanil Pandya

Results-driven data analyst with expertise in data visualization and analysis. Proficient in SQL and Python, facilitating effective database management and delivering actionable insights. Proven ability to enhance decision-making processes through high-quality data solutions.

• Computer Networks And Internet Protocol(NPTEL): Jan-Apr 2024
• Theory of Computation(NPTEL): Jul-Sep 2024
• Introduction to Generative AI: Jun 21,2023

1. AuctionEase – AI-Powered Bidding Platform
Developed a full-stack web application that enables users to create, bid, and purchase items in an online auction marketplace. Integrated an AI-driven price prediction model to suggest optimal starting and maximum bid values for listed items, improving transparency and seller confidence.

• Built with Node.js, Express, MongoDB, and EJS, featuring user authentication via Passport.js and secure session management.
• Implemented listings, bidding, and review modules, enabling buyers and sellers to interact seamlessly.
• Integrated Stripe payment gateway for secure transaction processing.
• Designed a price prediction pipeline leveraging historical auction data to recommend intelligent price ranges.
• Ensured robust error handling, flash messaging, and responsive UI for an enhanced user experience.

2. fliterX – CLI-based Data Preprocessing Tool
Developed a command-line interface (CLI) application to automate and simplify machine learning dataset preprocessing. The tool provides quick options for data description, handling missing values, categorical encoding, and feature scaling, with the ability to download the modified dataset.

• Built using Python with modular CLI design for efficient dataset handling.
• Automated data cleaning and preprocessing workflows, saving time in ML pipeline setup.
• Implemented NULL handling, categorical encoding, and scaling methods.
• Designed extensible architecture with a roadmap for graphical analysis, undo/redo, and GUI integration.