Portfolio Quick Summaries
Statistical analysis, time-series forecasting, and financial modelling using R.
📖 R Language Projects
R is a powerful tool for statistical analysis, data modelling, and visualisation. It is especially valuable for financial data where deep statistical insight is required.
These projects highlight how I use R to:
- Perform statistical modelling and hypothesis testing
- Analyse time-series data for forecasting and trend analysis
- Build financial models using regression and advanced statistics
- Create clear visualisations with ggplot2 for decision-making
- Integrate R with other tools (Excel, SQL, Python) for end-to-end workflows
Each project reflects R’s strength in statistics and its business value in finance — turning raw numbers into insights that explain risk, performance, and opportunity.
⚡ Continuous Learning
- I continue to add new projects as I explore advanced techniques in anomaly detection, deep learning, and financial forecasting.
- Connect with me on LinkedIn or explore all repositories on GitHub.
© Teslim Adeyanju 2025. All Rights Reserved.