Insightful Analytics: Predicting Financial Behaviors with Data Science
This Project utilizes machine learning to identify potential defaulters and non-defaulters in the banking sector, enhancing financial stability through data-driven insights.
This Project utilizes machine learning to identify potential defaulters and non-defaulters in the banking sector, enhancing financial stability through data-driven insights.
In this project for BreadTrip delves into the challenges and dynamics of online selling, offering insights and recommendations for enhancing the e-commerce ecosystem.
This Project analyzes VF Corporation's sustainable practices to understand consumer engagement among younger demographics.
A sophisticated analysis of over 30,000 grocery sales records using Tableau, revealing strategic insights through advanced data visualizations and interactive dashboards to inform business decisions.
In this project we look at what variables effect the gross revenue from movies.
In this project we use SQL Server to explore global COVID 19 data.