Expertise
Here's what I actually know how to do.
This isn't a keyword list. I use these tools on real projects. At Baker Street Advisors, in university research, and on side projects. If it's on here, I've applied it somewhere that mattered.
Quantitative finance
- ARIMA / SARIMA · expanding-window validation
- VaR, CVaR · expected shortfall
- Black–Scholes · Greeks · scenario analysis
- Portfolio optimization · market microstructure
- Monte Carlo · backtesting frameworks
Engineering & data
- Python: NumPy, pandas, scikit-learn, statsmodels
- R, SQL · reproducible pipelines · taught 30+ students in SQL
- Real-time ingestion · scraping · cleaning at scale
- OCR · entity resolution · geocoding
- Notebook to code handoff, so others can pick up where I left off
Research & leadership
- Hypothesis testing · regression · causal thinking
- Research write-ups for technical and non-technical readers
- Teaching: Java, R, SQL (80+ & 30+ students)
- Founder, Forbes Student Research
- Built a system to handle 1,000+ applications
Depth chart
Where I'm strongest.
Rough self-assessment against real project work, not a course syllabus.
Probability & statistics
0%
Python quantitative stack
0%
Time-series & forecasting
0%
Risk & portfolio analytics
0%
Running things at scale
0%
Proof