G’day, welcome to my Digital Garden, where I keep my notes on thoughts, experiments, and how-to’s.

I’m a software & dev-ops engineer, and a pricing & revenue management analyst.

Got an idea for a subject I should investigate? Reach out on LinkedIn or Email Me

Looking for content? Take a look in the explorer (side or bottom), search a keyword in the search box, or check out my list of current interests below.

Topics of Recent Interest:

Things I’ve either been reading up on, or intend to write an article about in future

Tech

AI/ML Modelling Examples

I want to make an essentials cheat sheet, containing basic implementation examples of most common AI/ML models, applied as simply as possible to use cases as easily comprehensible as possible

  • GAM & GLM
  • XGBoost Regression & Classification Simple Examples
  • Neural Networks
    • ANN
    • RNN
    • CNN

Finance

  • Valuing Stock Options as a SaaS employee
  • Basics of Valuing a Business

Pricing & Revenue Management

  • Basic Principles
  • AI Modelling
    • Feature Importance (how well can different attributes of data can predict others)
    • Customer Segmentation
    • Elasticity & Demand modelling
    • Win Rates in Bid/Quote Competitive Environment
    • Modelling Return on Promotional Spend & Impact Simulation
    • RNN for Time Series Modelling
    • Cross Portfolio Cannibalisation
    • Market Pressure Elasticity Impact

Self Education Resources

Note, I haven’t checked the quality of these yet, they’re bookmarks to check out for review. I’m not yet an advocate for the contents therein