we can say this project about the exploratory analysis with supermarket dataset.

Exploring the artistry of data analytics – transforming numbers into insights, displayed dynamically through the canvas of a website.

This is the 68 batch of Data Science

This project focuses on analyzing customer lifetime value using various data visualization techniques. By leveraging Python libraries such as Pandas, Seaborn, Plotly, and Matplotlib, the analysis provides insights into customer acquisition costs, revenue generation, conversion rates, and return on investment across different marketing channels.

Analysis initiated for Blood Pressure Level, Body Mass Index Status, Stress Level, Physical Activity and Sleeping Duration | Using Tableau

WordPress Analizador

I was given a few sets of tasks to complete, and I worked on data cleansing, ETL, and representing ideas (used a bit of DAX) with appropriate charts. Aside from the task given, the metric on the last page was my implementation.

A full pleged course reselling website