Implemented and tested Time-series components(Forecasts, Rolling statistics operations, Machine Learning operations on transformed data) using PySpark on Big data(more than 10 million records) for one of the top chemical company in the world.

Analytics of Petrochemical Logs

Data Preparation, Cleaning and Analytics on more than 4000 sensor data logs. Improved classification accuracy of signals from 60% to 98.6%. Build visualization using matplotlib charts.

During Full Stack Machine Learning Internship at Attentive.AI, I did research, design and implementation of a multi-threaded video analytics application operating on live camera feed. Detected the occupancy anomaly with an acccuracy of 90% at a well known Hospitality Company in India. Started the project from scratch(development to deployment).