I’m a Computer Engineering graduate from NMIMS Mumbai with hands-on experience in Data Analytics, Machine Learning, and Business Analytics.
Dynamic professional with experience at Null Class, specializing in predictive modeling and data analytics. Proven ability to automate workflows and enhance data visualization using Python and Power BI. Recognized for adaptability and time management, driving impactful insights and solutions in fast-paced environments.
1. Advanced drowsiness detection using face recognition, Link, 07/01/23, 11/30/23, our Python project focuses on advanced driver drowsiness detection, including the detection of drowsiness, yawning, and distracted driving We developed a user interface with buttons to indicate each of these features. The project primarily recognizes facial expressions to perform these operations Parkinsons Disease Detection, Link, 02/01/23, 04/30/23,
2. Show off – AI visual search and local shopping integration React.js, Firebase, Python (AI), Google Maps API
Built an AI-based visual search to match uploaded fashion photos with local shop listings, integrated real-time cart, messaging, and shop-owner dashboards for seamless e-commerce, and enabled map-based store discovery and offer-based filtering to boost local brand visibility
3. A project that facilitates Parkinson's disease detection, along with early onset identification, conducted in-depth analysis of the dataset, implementing techniques for feature extraction and normalization to minimize the scope of error, Student Management System, Link, 01/01/22, 04/30/22
4.We developed a student management system application that allows adding student data, including student ID, name, surname, and marks The system supports various operations, such as creation, deletion, and updating of records
5. Database management system with data analytics and dashboard creation, link, present, designed, and implemented a database management system (DBMS) integrated with a dynamic dashboard to manage and analyze large datasets, providing actionable insights through visualizations. Technologies used: SQL, Python, Matplotlib, Plotly, and a web framework (e.g., Flask or Django)
6. CI/CD pipeline implementation for web application, link, 09/01/24, present, built and deployed a continuous integration and continuous deployment (CI/CD) pipeline for a full-stack web application, automating testing, building, and deployment processes. Technologies used: Jenkins, Docker, Git, Kubernetes, AWS, or a similar cloud platform
Advanced Drowsiness Detection, Research Paper, 04/01/23