Data Science
Codenames Clue Generator v2: Wikipedia Graphs, Gemini Embeddings, and What Still Doesn’t Work
Building the graph-based approach I promised in v1 — and discovering the yield gap isn’t where I expected it to be.
ML Model Monitoring Metrics
Detecting silent model failures early and consistently
Distribution Drift Tolerance
Identifying your personal preference for measuring population drift
PyMC Wrapper
Making PyMC models more accessible and reusable
MMM: Miracle of Marketing Measurement or Misleading Modeling Methodology?
MMMs are a future-proofed tool for measuring marketing effectiveness in a world of increased online privacy, but can be prone to multiple silent failure methods that provide inaccurate results.
Codenames Clue Generator using Semantic Similarity
Utilizing Tensorflow pre-trained embeddings to recommend potential clues to the codemasters in the card game Codenames
Multi-Armed Bandits Exploration
Benchmark Comparisons and UCB Visualization
Probability Calibration
Predictions As Actual Probabilities
Stargazer Python Library
Multiple Regression Reporting
Population Stability Index
Quantifying Population Drift
Generative Art
Spaghetti Code
Making generative noodle art
Basic Geometric Tiling
Inspiration from Italian Mosaics
My Intro to Generative Art
In-Browser Art with p5.js
Data Visualization
Introduction to Idyll
Visualizing Pumpkin Pie Taste Test Results
Slopegraph vs Barchart
Slopegraphs are great …sometimes
