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Year
2024
Tech & Technique
Tableau, Excel, yfinance API, VAR Forecasting, CAGR Analysis, Python
Description
A full-stack portfolio analytics platform combining inflation modelling, asset ranking, time series forecasting,
and interactive dashboards to support data-driven investment decisions.
AMOP addresses the fragmentation problem in personal finance — bringing financial market data, inflation context, and portfolio simulation into one analytical solution.
What makes it stand out:
AMOP addresses the fragmentation problem in personal finance — bringing financial market data, inflation context, and portfolio simulation into one analytical solution.
What makes it stand out:
- Grounded in genuine user research — surveys, empathy maps, personas, and journey analysis shaped every analytical choice
- VAR modelling outperformed traditional ML for financial forecasting — a real-world finding, not a textbook default
- Output is decision-ready, not just technically impressive
My Role
Sole Developer & Researcher
- Conducted user research (surveys, empathy maps, personas) before any code was written
- Built inflation modelling and CAGR analysis pipelines using Python + yfinance API
- Evaluated VAR vs ML forecasting approaches; selected VAR based on empirical performance
- Built interactive Tableau and Power BI dashboards for portfolio simulation
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