Articles
My posts primarily explore real-world and theoretical applications of econometric and statistical/machine learning techniques, but also whatever I am currently interested in or learning 😁. At the end of the day, I write to learn and help others learn!
As a believer and beneficiary of knowledge sharing, I hope my articles make complex topics just a bit more accessible to all.
Featured Articles
Highlighted pieces covering advanced topics in machine learning, optimization, and statistical methods.
Double Machine Learning, Simplified: Part 2
Learn how to utilize DML for estimating individual level treatment effects to enable data-driven targeting
Double Machine Learning, Simplified: Part 1
Learn how to utilize DML in causal inference tasks
t-SNE from Scratch (ft. NumPy)
Acquire a deep understanding of the inner workings of t-SNE via implementation from scratch in python
All Articles
Complete collection of technical articles and tutorials covering various topics in data science and econometrics.
(4 articles)
Double Machine Learning, Simplified: Part 2
Learn how to utilize DML for estimating individual level treatment effects to enable data-driven targeting
Double Machine Learning, Simplified: Part 1
Learn how to utilize DML in causal inference tasks
Predictive Parameters in a Logistic Regression
Acquire a robust understanding of logit model parameters beyond the canonical odds ratio interpretation
Controlling for 'X'?
Understanding Linear Regression Mechanics via the Frisch-Waugh-Lovell Theorem
(3 articles)
Optimization, Newton's Method, & Profit Maximization: Part 3
Learn how to apply optimization & econometric techniques to solve an applied profit maximization problem
Optimization, Newton's Method, & Profit Maximization: Part 2
Learn how to extend Newton's Method to solve constrained optimization problems
Optimization, Newton's Method, & Profit Maximization: Part 1
Learn how to solve and utilize Newton's Method to solve multi-dimensional optimization problems
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