* Predicting the sale price and days to sell for the second-hand bags of
high-end fashion brands.
* Technology/tools: Python, Time Series analysis
* Responsibilities: (1)- Predicting sell price based on historical and
other supporting factors

Tata Sky is one of the major DTH and entertainment service providers with 130+ billion ofexisting customer base throughout India.

Involved in the development of a generic recommendation engine for Tata Sky Binge.

Handle regional content recommendations

Scrap regional movies data from web from multiple sources.

A research based work to Implement one-to-many authors word frequency Comparison
and Text Classification with constraints like data privacy and no data movement in
decentralized/federated manner.

Implemented master-machine side logic for one-to-many authors word frequency Comparison.
Implemented worker-machine side logic to perform Text Classification using NLP with Deep Learning.

The objective was to replace the old system with the unified one in which any distributor wants to start it business can use the platform without building the system from scratch.

Developed data lake for Big Data

Provided solutions for other business logic.