Piyush Nishant

Communicate with Data team to collect data from different source like Zeppelin, Imply, Data ocean Ingest data from database server Filter, transformed and store data in Azure SQL Build ETL pipeline to store redefined application specific data using Azure stacks Clean and preprocess data to make it ready for analysis Feature engineering and feature selection using entropy and ranking system Create Mixed model and XGBoost to predict the app performance Generate and show report to higher management on monthly basis

Develop service recommendation engine using Customer information and their transaction behaviour. To predict and deploy Service churning and create customer segmentation using predicted probability of service churning. Create Chat bot in RASA and train it on custom financial data set Build End to End pipeline to monitor changes in the model and its predictive power using docker and MLFlow and Data bricks Worked on iOS banking application

Worked with R&D team and implement new technologies in iOS application Improve performance of legacy app by 35% Worked closely with Project manager and delivery people Build Trip product rental application in which user can sell or rent the product.

Worked with Backend team to create Shopping bag E-commerce web application. Worked with Mobile application team to create utility application. Create iOS and android application