SQL Retail Analysis Project
As they say, 'Garbage in, garbage out' – This project focuses on cleaning and preparing data for meaningful analysis using SQL.
SQL Retail Analysis Project
Interactive DashBoard using Power BI
Developed an interactive sales dashboard in Power BI to visualize and analyze key sales trends, enabling users to gain actionable insights through dynamic filtering, drill-down features, and detailed performance metrics.
Data Exploration in SQL
Using a variety of data exploration techniques such as filtering, grouping, and aggregating, this analysis skillfully uncovers key patterns, trends, and insights hidden within the data. It’s like finding hidden gems, providing a clearer picture of the dataset.
Interactive Dashboard using Tableau
Developed an interactive Tableau dashboard to visualize complex data and uncover actionable insights. Leveraging advanced visualization techniques, this project provides users with intuitive, data-driven stories that enable informed decision-making and in-depth analysis.
Top US Companies Scraper with Python
This Python-based web scraper extracts real-time data on the largest public companies in the US by revenue from Wikipedia. Using BeautifulSoup and requests, it automates the data collection process, providing up-to-date information for analysis and research.
Data Cleaning Using Pandas
This project showcases the cleaning and preprocessing of a customer call list dataset using Python and Pandas. It focuses on preparing the data for analysis by eliminating unnecessary values, standardizing formats, addressing missing values, and ensuring overall data consistency.
MS-EXCEL Project
The project is an interactive Excel dashboard that provides insights into bike purchase data. With features like pivot tables and slicers, users can easily explore trends, analyze sales, and make informed decisions.
Exploratory Data Analysis using Pandas
This project conducts Exploratory Data Analysis (EDA) on world population data from 1970 to 2022 using Python's Pandas library. It cleans, processes, and visualizes the data to reveal global population trends, patterns, and variations across years, regions, and countries.
Body Mass Index Calculator
This project features a simple Body Mass Index (BMI) Calculator developed with Python and Jupyter Notebook. It computes BMI from user weight and height and categorizes the results into various weight ranges.