Teaching
Teaching at
King’s University College
Machine Learning Teaching Assistant & Lab Instructor
September 2025–January 2026 · Designed and delivered 12 hands-on labs for 20+ fourth-year students. The original slides below cover practical analytics in Excel and R.
King’s University College website
ADS 4293 · Professional Analytics12 original teaching PDFs
Spreadsheet modeling
Financial and operational models in Excel
Open PDF
Cleaning, wrangling & visualization
Data preparation and exploratory analysis
Open PDF
Visualization & simple regression
Connecting plots, correlation, and regression
Open PDF
Regression analysis
Model interpretation and significance
Open PDF
Multiple regression & interactions
Working with richer predictor relationships
Open PDF
Logistic regression in R
Fitting and interpreting binary outcomes
Open PDF
Classification probabilities
Prediction, odds, and logistic models
Open PDF
k-nearest neighbors & Naive Bayes
Data partitioning and classification
Open PDF
Unsupervised learning
Clustering, distance, and dendrograms
Open PDF
Risk analysis & simulation
Monte Carlo and distribution-based analysis
Open PDF
Linear optimization
Decision variables, objectives, and constraints
Open PDF
Nonlinear optimization
Solver models and sensitivity exploration
Open PDF