
Ecommerce Website
- MERN Stack, 12/24, 01/25, Developed the complete frontend and backend of an e-commerce website using Node.js, Express, and MongoDB, following the MVC architecture.
Designed and implemented a robust REST API, enabling smooth and secure communication between client-side and server-side components.
- Created and managed efficient MongoDB database schemas, ensuring optimized data storage, fast retrieval, and scalability for growing product and user data.
Customer Management Dashboard
- MERN Stack, 02/25, 04/25, Built a full-stack Customer Management Dashboard using the MERN stack, enabling real-time CRUD operations for over 500+ customer records with efficient data handling and role-based access control.
- Implemented automated plan expiry notifications via email alerts using Node.js and Cron jobs, reducing manual tracking effort by 90% and ensuring timely renewals., Enhanced operational efficiency by 60% by integrating advanced search, filtering, and sorting features, allowing customer support teams to instantly identify and manage expired or active plans.
Student Exam Performance Analysis & Prediction
- Using Tensorflow, Keras Conducted exploratory data analysis (EDA) on 1000+ student records to identify key performance indicators like study hours, attendance, and class participation.
- Found strong linear correlation between study hours and exam scores (Pearson's r = 0.76), using heatmaps, scatter plots, and histograms for visual insight., Tuned learning rate to achieve convergence in < 250 iterations, reducing cost by over 90%., Developed the code for each neuron or unit - linear regression model.