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The project includes interactive visualizations and data filtering features for better decision-making.\n\n🔗 Live Demo: https://hospitalpatientsdasboard.netlify.app/  \n🔗 GitHub: https://github.com/kawsar334/data-analytics-portfolio/tree/main/hospitalPatient  \n\n---\n\n### 🎓 Student Performance Analysis\nAn 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.\n\n🔗 GitHub: https://github.com/kawsar334/data-analytics-portfolio/tree/main/studentPerformanceFactors  \n\n---\n\n### 🛒 Customer Shopping Behavior Analysis\nA 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.\n\n🔗 GitHub: https://github.com/kawsar334/data-analytics-portfolio/blob/main/customer_shoping_behaviorsss/customer_shoping_behaviors.ipynb  \n\n---\n\n## 🛠️ Tech Stack\n- Python  \n- Pandas  \n- Matplotlib  \n- Seaborn  \n- SQL  \n- JSON  \n- Excel / Google Sheets  \n\n---\n\n## 🎯 Objective\nTo demonstrate practical data analysis skills including data cleaning, data transformation, visualization, and deriving meaningful business insights from raw datasets.\n\n---\n\n## 📌 Key Skills Demonstrated\n- Data Cleaning \u0026 Preprocessing  \n- Exploratory Data Analysis (EDA)  \n- Data Visualization  \n- SQL Data Handling  \n- Business Insight Generation  \n\n---\n\n## 🔥 Future Improvements\n- Add Power BI / Tableau dashboards  \n- Improve SQL complexity (JOINs, window functions)  \n- Add more real-world datasets  ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkawsar334%2Fdata-analytics-portfolio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkawsar334%2Fdata-analytics-portfolio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkawsar334%2Fdata-analytics-portfolio/lists"}