Creating various dashboard and charts to get the insights form the sales dataset.

It was a machine learning project using libraries of Python . And it was completed by a group of four members. Each member contributed in the same manner. And it was done during my machine learning training period.

It deals with the maximized churn rate problem of a fintech company, using the analysis of financial habits (deposit, withdrawal etc.) of its customers.

The idea behind this model is to control home devices with the help of voice commands and voice commands for Google assistant have been added using IFTT.

Various query operations based on some conditions.Update and text operations.Delete operations and related collections queries.

Analysed a bank marketing campaign, focusing on phone-based outreach effectiveness for term deposit schemes.Examined customer contact frequency and its impact on subscription rates to inform strategic improvements.

A multinational e-commerce firm, exports daily data but doesnt use it, they want insights on their top-selling product and its marketing improvements.Provide these insights to marketing, product, sales, and procurement teams, focusing on data analysis and engineering.