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πŸ“Š Data Analysis & Visualization Projects

Welcome to my Portfolio! This repository showcases various data analysis and visualization projects using different tools. Each folder represents a distinct project that transforms raw data into interactive dashboards and insights for better decision-making.


πŸ“ Projects Overview

1. Iphone Sales Analysis

  • Tools Used: Python, NumPy, Pandas, Seaborn
  • Description: Analyzed iPhone sales across different regions and years. Provided insights on product popularity, revenue trends, and market performance.
  • Key Features:
    • Monthly and yearly sales trends
    • Revenue distribution by model and region
    • KPI cards and slicers for dynamic filtering

2. IPL 2022 Analysis

  • Tools Used: Python, Pandas, Seaborn
  • Description: Explored the IPL 2022 season with visualizations of player stats, team performances, and match outcomes.
  • Key Features:
    • Player performance charts
    • Win/loss analysis for each team
    • Interactive filters by team, venue, and player

3. Netflix Data Visualization

  • Tools Used: Python, Pandas, Matplotlib
  • Description: Visualized Netflix's content library to understand genre distribution, content rating, and platform trends.
  • Key Features:
    • Content addition trends over time
    • Country-wise content analysis
    • Genre and rating breakdown

4. Sales Dashboard

  • Tools Used: Power BI, Power Query, Data Modeling
  • Description: Built an interactive Excel dashboard to track sales KPIs, trends, and region-wise performance.
  • Key Features:
    • Sales summary and targets
    • Monthly performance charts
    • Dynamic dropdowns and slicers

5. IPL Analysis (2008–2025)

  • Tools Used: Power BI, Power Query, DAX
  • Description: A dynamic Power BI dashboard that visualizes IPL data from 2008 to 2025. It covers team standings, player performance, and season-by-season insights.
  • Key Features:
    • Season-wise champions, orange/purple cap holders
    • Dynamic filtering with dropdown for year
    • Player stats with images and match highlights
    • Clickable links to IPL website, Cricbuzz, Twitter, YouTube

πŸ’‘ Skills Demonstrated

  • Data Cleaning & Transformation
  • Data Modeling
  • Interactive Visual Design
  • Dashboard Development
  • Data Storytelling

πŸ“‚ How to Explore

  1. Click on any folder to view the project.
  2. Open the README.md file inside each project for detailed explanation.

πŸ”— Connect with Me