“Make it work. Make it right. Make it fast.” - Kent Beck

Coding Projects

A list of all my coding projects ordered by project size.

Currently looking for a FinTech or Data Science job. Contact me via LinkedIn.

I have a business-tech background. You can find more info on my CV.

Noisy Stocks

Big Data application which automatically generates spurious stock correlations between stock price and rainfall based on historical movers & shakers.
Published online on noisystocks.com.
Orchestrator code & additional info on Github.
Features:
- Blazing fast. Can process 60+ stocks to a fully published state in less than 5 minutes.
- Automatically finds correlations based on time series.
- Optimized Big Data database.
  - More than 870 million weather & 14 million stock datapoints.
  - 90+% compression rate.
- Decouples back-end & front-end securely using Jamstack architecture.
- Strongly typed Python using Pydantic & Pandera to increase reliability.
- Fully idempotent: If your computer suddenly loses power, you can simply restart the program. It will be as if the program only ran once successfully.
- DevOps best practices:
  - Continuous Integration.
  - Continuous Deployment.
  - Reproducable development environment.