Hello, I'm Briti Dipan Srivastav.
I engineer smarter digital experiences.

Aspiring Data Science and Full Stack professional with practical experience in machine learning, data analysis, and web application development using Django and MERN stack. Experienced in building and deploying real-world applications and leveraging data-driven approaches to solve real-world problems.
Let's Connect

Power BI

Databricks

AWS

Git

GitHub

VS Code

Linux

Power BI

Databricks

AWS

Git

GitHub

VS Code

Linux

Built a customer churn prediction web application using Machine Learning and Streamlit. The platform allows users to input telecom customer details and predict whether a customer is likely to churn based on service usage, billing information, and contract type. The project includes data preprocessing and model development using a Random Forest classifier with Scikit-learn. The application features an interactive interface built with Streamlit for a clean and responsive user experience.

Built an e-commerce sales analysis dashboard using Microsoft Power BI to visualize sales performance and generate business insights. The dashboard analyzes key metrics such as total sales, quantity sold, profit, and average order value to understand overall performance. It includes visualizations for state-wise sales distribution, category and payment mode analysis, and monthly profit trends. The dashboard features an interactive design built with Power BI for clear and meaningful data insights.

Built a recipe finder and meal planner web app using React. The platform enables users to search recipes, create personalized meal plans, generate shopping lists, and track nutritional information. It integrates external APIs for recipe data and utilizes LocalStorage to save user preferences. The app features a responsive design with React Router for navigation, providing a seamless, interactive experience. Styled with CSS for a clean, modern UI.

Developed a full-stack eCommerce website for Nisarg-Mitra, a wellness brand focused on natural extracts and herbal products. This freelance project involved end-to-end design and development of a responsive platform that supports product listings, shopping cart, user authentication, and admin management. The focus was on creating a scalable, user-friendly solution tailored to real business needs.

The primary objective of the project was to develop a user-friendly web application that allows seamless data manipulation and management. By leveraging Angular powerful front-end capabilities and the flexibility of Dot Net Core and Swagger UI on the back-end, we were able to create an efficient CRUD application with an intuitive user interface.
The project aimed to develop a full-stack, AI-powered healthcare web application that enhances accessibility, diagnosis, and telemedicine services. Using Django and MySQL on the backend and integrating Machine Learning, the platform delivers accurate symptom-based disease predictions, intelligent doctor recommendations, and secure patient-doctor interactions.




I'm always happy to connect — feel free to reach out anytime!