📊 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.

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📁 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

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💡 Skills Demonstrated

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

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📂 How to Explore

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

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🔗 Connect with Me

• LinkedIn: Samay Gupta
• Email: samaygupta963@gmail.com

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