Early Detection of Chronic Kidney Disease Detection

A virtual internship project provided by SmartInternz in collaboration with IBM. Using python libraries like NumPy and pandas for exploratory data analysis and matplotlib and seaborn for data visualization and used the Scikit-learn library for developing machine learning models.

Retail Analysis with Walmart Data

Project Based on Retail Analysis with Walmart Data Using linear regression and variables like dates, we have built a prediction model to forecast demand for certain products. Also, to hypothesize if CPI, unemployment, and fuel prices have any impact on sales.

Comparison of Region Based on Sales

In this Tableau project, we analyze sales data from various regions to identify performance trends. Using interactive visualizations like maps, bar charts, and line graphs, we showcase sales distribution, highlight top-performing regions, and reveal sales trends over time.

Diabetes Prediction

NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases) research creates knowledge about and treatments for the most chronic, costly, and consequential diseases. The dataset used in this project is originally from NIDDK. The objective is to predict whether a patient has or not.