Projects

An End-to-end fully functional Movie recommendation system for OTT streaming platforms, using techniques of Collaborative filtering.

This project was aimed to segment customers into different classes based on their Recency, Frequency and Monetory scores.

This project showcases the case study done to unveil the statistical aspects of the dataset using Python libraries and Statistics.

The objective was to analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries!

Solved this case study which primarily focused on deriving valuable insights from a Leading Retail Market’s data and provide recommendations/ feedback to improve the business.

Developed a hardware system by employing the Time Domain Multiplexing concept into the 433 MHz transceiver module, which is used as the wireless system to monitor the inflow of water in the overhead water tanks.