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Data Modeling
Historical work
Historical work
- I prepared notebooks for financial features and stock return analysis.
- I examined portfolio construction and merged financial and returns datasets.
- I organized reproducible code, notebooks and research outputs.
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- I prepared exploratory notebooks for investment and financial data analysis.
- I examined risk-adjusted returns, regressions and machine learning methods.
- I retained notebook calculations and visualizations for review.
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- I exported quantitative research inputs and calculated results.
- I summarized monthly decile returns and index statistics.
- I retained CSV outputs and a run log for reproducibility.
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- I built a quantitative equity research workflow in Python.
- I calculated index measures, decile returns and portfolio statistics.
- I exported reproducible data outputs and an analytical report.
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- I prepared scripts for ticker lists, prices and event generation.
- I supported a reproducible volatility event-study workflow.
- I organized the code alongside the associated research notebook.
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- I implemented an Average True Range event study in Python.
- I generated price and event datasets for return analysis.
- I organized the research notebook and supporting scripts.
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