This repository contains a collection of end-to-end data analysis and visualization projects spanning business intelligence, healthcare analytics, election data insights, and machine learning applications.
The projects demonstrate practical applications of EDA, dashboarding, statistical analysis, and classification modeling using tools such as Python, Tableau, and Power BI.
- Focus: Business Intelligence & Data Visualization
- Tools: Tableau, Power BI
- Developed interactive dashboards for business insights and KPI tracking.
- Domain: Healthcare Analytics
- Tools: Python (Pandas, NumPy, Matplotlib, Seaborn)
- Performed EDA to identify key cardiovascular risk factors.
- Domain: Political Data Analysis
- Tools: Python, Tableau
- Analyzed voter trends and regional patterns.
- Domain: Logistics & Business Analytics
- Tools: Python
- Evaluated delivery efficiency, cost, and customer behavior.
- Notebook: mental-health-eda-diagnosis-classification.ipynb
- Built classification models and performed detailed EDA.
- Extended version with feature engineering and model experimentation.
- Python
- Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
- Tableau, Power BI
- Jupyter Notebook
├── PoBI_Tableau_Project/
├── cardio_db_analysis/
├── election_db_analysis/
├── food_delivery_analysis/
├── mental-health-eda-diagnosis-classification.ipynb
├── kaggle_mental_health_notebook.ipynb
└── README.md
- Data Cleaning & Preprocessing
- Exploratory Data Analysis
- Dashboarding & Visualization
- Machine Learning Classification
- Business Insight Generation
Amandeep Singh Paruthi
Data Scientist | AI/ML | Data Analytics