https://github.com/kawsar334/data-analytics-portfolio
Data Analytics Portfolio showcasing insights through Python, SQL, and interactive data visualizations built with React.js.
https://github.com/kawsar334/data-analytics-portfolio
matplotlib-pyplot pandas python reactjs sql
Last synced: about 18 hours ago
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Data Analytics Portfolio showcasing insights through Python, SQL, and interactive data visualizations built with React.js.
- Host: GitHub
- URL: https://github.com/kawsar334/data-analytics-portfolio
- Owner: kawsar334
- Created: 2026-04-26T01:47:07.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2026-04-28T03:35:27.000Z (2 months ago)
- Last Synced: 2026-04-28T05:23:31.174Z (2 months ago)
- Topics: matplotlib-pyplot, pandas, python, reactjs, sql
- Language: Jupyter Notebook
- Homepage:
- Size: 10.1 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
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README
# 📊 Data Analyst Portfolio Projects
This repository contains a collection of data analysis projects focused on real-world datasets, data cleaning, exploratory data analysis (EDA), and data visualization using Python, Pandas, Matplotlib, Seaborn, and SQL.
---
## 🚀 Projects Overview
### 🏥 Hospital Patients Analytics Dashboard
A healthcare analytics dashboard that provides insights into patient records, admission trends, disease distribution, and key performance metrics. The project includes interactive visualizations and data filtering features for better decision-making.
🔗 Live Demo: https://hospitalpatientsdasboard.netlify.app/
🔗 GitHub: https://github.com/kawsar334/data-analytics-portfolio/tree/main/hospitalPatient
---
### 🎓 Student Performance Analysis
An exploratory data analysis project focused on understanding student academic performance. The dataset was cleaned and analyzed to identify how different factors influence exam scores and learning outcomes.
🔗 GitHub: https://github.com/kawsar334/data-analytics-portfolio/tree/main/studentPerformanceFactors
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### 🛒 Customer Shopping Behavior Analysis
A data analysis project that explores customer shopping patterns. The dataset was cleaned, transformed, and stored in SQL. Insights were generated using Matplotlib and Seaborn to understand customer behavior and trends.
🔗 GitHub: https://github.com/kawsar334/data-analytics-portfolio/blob/main/customer_shoping_behaviorsss/customer_shoping_behaviors.ipynb
---
## 🛠️ Tech Stack
- Python
- Pandas
- Matplotlib
- Seaborn
- SQL
- JSON
- Excel / Google Sheets
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## 🎯 Objective
To demonstrate practical data analysis skills including data cleaning, data transformation, visualization, and deriving meaningful business insights from raw datasets.
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## 📌 Key Skills Demonstrated
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization
- SQL Data Handling
- Business Insight Generation
---
## 🔥 Future Improvements
- Add Power BI / Tableau dashboards
- Improve SQL complexity (JOINs, window functions)
- Add more real-world datasets