Created a platform to analyze social media data, offering insights and trends from user interactions and posts. Implemented the backend with Python and Django for data ingestion, processing, and analytics, and developed a responsive React.js frontend for user-friendly interactive data visualizations and reports. Integrated GraphQL for efficient data querying and retrieval, enhancing application performance and flexibility. Used PostgreSQL for scalable and reliable data storage, optimizing schema and queries for better performance. Collaborated closely with data scientists to implement machine learning models for sentiment analysis and trend forecasting. Conducted comprehensive unit and integration tests to ensure analytics accuracy and reliability. Worked alongside the product team to elucidate requirements, define project scope, and deliver features aligned with user needs.

Participated in developing an e-commerce platform for efficient book management and sales. Built backend services using Python and Django to securely manage book inventory and order processing. Crafted a user-friendly frontend with JavaScript, HTML, and CSS for effortless book browsing, searching, and purchasing. Employed PostgreSQL for robust data storage and efficient querying. Secured the platform with authentication and authorization mechanisms, catering to different roles such as customers and admins. Leveraged AWS for deployment and Docker for scalable and efficient deployment processes. Engaged with cross-functional teams, incorporating feedback to align the system with user expectations. Executed performance and load testing to support high user concurrency. Integrated payment gateways to ensure smooth and secure financial transactions.

This project involved automating the data pipeline to collect, process, and analyze sales data, providing real-time insights for the e-commerce platform.