This project analyzes Indian Mutual Fund industry data using Python, SQL, Jupyter Notebook, and Power BI.
The project covers:
- ETL Pipeline Development
- Data Cleaning & Validation
- Exploratory Data Analysis
- Fund Performance Analytics
- Risk Metrics (VaR, CVaR, Sharpe, Sortino)
- Investor Analytics
- Dashboard Development
- Advanced Analytics & Recommendations
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- SQLAlchemy
- SQLite
- Jupyter Notebook
- Power BI
data/ db/ dashboard/ notebooks/ reports/ scripts/ sql/
pip install -r requirements.txt
python run_pipeline.py
Open:
dashboard/bluestock_mf_dashboard.pbix
or
dashboard/Dashboard.pdf
- fund_scorecard.csv
- alpha_beta.csv
- var_cvar_report.csv
- sector_hhi.csv
- rolling_sharpe_chart.png
Sanjay Kumar Artificial Intelligence & Data Science