Built a digital phenotyping application that captures and analyzes behavioral patterns from iOS device usage to predict mental health states using Python and Streamlit.

Surveyed more than 100 people who are aged between 15 to 30. predicted their mindset and relationship by keeping their names discrete. Concentrated on gender, age and past experiences.

Link: https://www.kaggle.com/code/rohithmahadevan/relationship-analysis/notebook

Analyzed a employee dataset and found out what are the major causes for leaving the company. In addition to that, also predicted how likely will the employee leave the company given the same circumstances. 

Link: https://www.kaggle.com/code/rohithmahadevan/how-likely-the-employee-will-leave

Collected data from dustbins and did a time series analysis. Simulated 50 dustbins data, collected and preprocessed the live data and turned it into analytics solution. Effective waste classification and strategical solution.

Link: https://github.com/RohithMahadev/smart-waste-management-in-cities

Video games are one of the most popular entertainment. The analysis gives us an idea about the user ratings for the games and what is the sales over time. 

Link: https://www.kaggle.com/code/rohithmahadevan/predicting-the-user-score-ratings-for-video-games