Ramkumar Muthusrinivasan

1.Customer Churn Analysis Using Power BI – Github

I have effectively visualize and comprehend customer behavior, identify patterns of churn, and develop strategies to mitigate customer attrition.

2.Sales Analysis Using Power BI – Github

By employing data analysis techniques, with a specific emphasis on time series analysis, I aim to offer valuable insights and precise sales forecasting.

3.Analysis of Marketing Campaign– Github

Analyzing a marketing campaign using Power BI can provide valuable insights into the effectiveness of your marketing efforts.

4.Uber Analysis– Github

Determine the duration of Uber trips. Identify the most common hour for people to take Uber to their destination. Analyze the purpose of trips. Determine the day with the highest number of trips. Calculate the number of trips per day. Analyze the trips throughout the month. Identify the most common starting points for Uber trips.

5.Sales Analysis using Python– Github

studied the sales data of a store that sells different items. They are experiencing a decrease in profits in certain areas and with certain products. To understand this, I analyzed the data using Python.

6.HOLIDAY SEASON SALES PREDICTION– Github

The primary goal of this project is to predict customer spending during the holiday season and harness the power of data science and machine learning methods to create a predictive model to predict purchase amount.