A collection of data analysis and visualization projects designed to uncover insights from diverse datasets. These projects include analyses on COVID-19 trends, stock trading patterns, housing market prices, IoT data, and more, showcasing the power of data-driven storytelling.

This repository contains a SQL dataset of a music store and SQL queries to answer questions about the data. The results of the SQL queries can be found in the analysis.sql file. This repository can be used as a starting point for anyone who wants to learn how to use SQL to analyze data.

The covid-19 Pandemic was one of a kind that took many lives. I embarked on a journey to get insights on Covid's impact on the

This repository contains a Power Bi dashboard of an E-commerce store to answer questions about the data. The insights of the dashboard can be found in the results.txt file. This repository can be used as a starting point for anyone who wants to learn how to use Power Bi to analyze data.

Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for LaptopPricing dataset.

PGDBA - ML-miniproject - Telephone-Data-Churn

Capstone project for the Google Data Analytics Professional Certificate. This project focused on analyzing Cyclistic (fictional bike-share company) bike rides from July 2023 - July 2024 in the City of Chicago. This case study was performed using RStudio and LibreOffice Calc (spreadsheet software).

This repository contains a Power Bi dashboard of an E-commerce store to answer questions about the data. The insights of the dashboard can be found in the results.txt file. This repository can be used as a starting point for anyone who wants to learn how to use Power Bi to analyze data.

This project analyzes and reports key metrics and insights from a call center performance dashboard. The dashboard provides a comprehensive view of call center operations, including response times, satisfaction scores, call volumes, agent performance, and topic distribution.

An interactive sales dashboard built with Python, designed to analyze, visualize, and provide actionable insights into sales performance. This project is a part of my journey in learning Python for data analytics.

This project involves analyzing the sales data of a music store using SQL, contains a SQL dataset of a music store and SQL queries to answer questions about the data.