Welcome to my data analytics portfolio! This repository showcases my work in business intelligence, machine learning, financial analysis, and data visualization.
I'm Swithun Chiziko, a Data Analyst and BI Developer with a Master's in Predictive Analytics and a Bachelor's in Economics & Finance. I specialize in:
- Enterprise BI system development
- Multi-source data integration
- Machine learning and predictive analytics
- Financial modeling and analysis
- Dashboard design and data visualization
Predictive models and data science applications
- Loan default prediction using classification algorithms
- Stock market momentum analysis
- Risk modeling and scenario analysis
BI solutions, dashboards, and reporting systems
- Enterprise reporting system development
- Multi-source data integration
- Interactive dashboard design
- ETL pipeline development
Forecasting models and temporal analysis
- Demand forecasting for operations
- Financial market volatility analysis
- Trend analysis and seasonality detection
Financial modeling, valuation, and analysis
- Three-statement financial models
- Investment analysis and portfolio management
- Risk assessment and scenario planning
- Financial ratio analysis
Dashboard examples and visual analytics
- Power BI dashboards
- Tableau visualizations
- Excel interactive reports
Programming Languages:
Tools & Frameworks:
- BI: Power BI, Tableau, Excel (Power Query, Power Pivot)
- ML: scikit-learn, pandas, NumPy, matplotlib, seaborn
- Databases: SQL, PostgreSQL
- Other: Git, GitHub, SAS, SPSS
| Project | Description | Tech Stack | Key Results |
|---|---|---|---|
| Enterprise BI System | Multi-source data integration for World Bank funded project | Power Query, SQL, Excel | 35% time reduction, 100% accuracy |
| Loan Default Prediction | ML classification model for credit risk | Python, scikit-learn | ~80% accuracy |
| S&P 500 Volatility Analysis | Financial market correlation study | R, SAS | Published capstone thesis |
| Demand Forecasting | Time series models for operations | R, Python | Improved inventory planning |
| Tumour Classifcation | Benign/malignant tumour classification for breast cancer | R, Python | ~80% accuracy prediction |
- Email:
- LinkedIn: linkedin.com/in/swithun-chiziko-94a21869
- Location:
- Portfolio: View my complete portfolio
This portfolio is for demonstration purposes. Individual projects may have their own licenses.
Note: Some projects contain anonymized data to protect confidentiality. Original datasets and detailed code available upon request to potential employers.
Last Updated: December 2025 Note: Some projects contain anonymized data to protect confidentiality. Original datasets and detailed code available upon request to potential employers.
Last Updated: December 2025