**I write on Medium for Towards Data Science.**

**My articles explore real-world and theoretical applications of econometric, mathematical, and statistical/machine learning techniques. Most importantly, I write help others and myself learn complex topics at a deeper level!**

*As a believer and beneficiary of knowledge sharing, I hope my articles make complex topics just a bit more accessible to all.*

Double Machine Learning, Simplified: Part 2 - Targeting & the CATE

Learn how to utilize DML for estimating individual level treatment effects to enable data-driven targeting

Double Machine Learning, Simplified: Part 1 - Basic Causal Inference Applications

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

Optimization, Newton's Method, & Profit Maximization: Part 3 - Applied Profit Maximization

Learn how to apply optimization & econometric techniques to solve an applied profit maximization problem

Optimization, Newton's Method, & Profit Maximization: Part 2 - Constrained Optimization Theory

Learn how to extend Newton's Method to solve constrained optimization problems

Optimization, Newton's Method, & Profit Maximization: Part 1 - Basic Optimization Theory

Learn how to solve and utilize Newton's Method to solve multi-dimensional optimization problems

Predictive Parameters in a Logistic Regression: Making Sense of it All

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

Double Machine Learning, Simplified: Part 2 - Targeting & the CATE

Learn how to utilize DML for estimating individual level treatment effects to enable data-driven targeting

Double Machine Learning, Simplified: Part 1 - Basic Causal Inference Applications

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

Optimization, Newton's Method, & Profit Maximization: Part 3 - Applied Profit Maximization

Learn how to apply optimization & econometric techniques to solve an applied profit maximization problem

Optimization, Newton's Method, & Profit Maximization: Part 2 - Constrained Optimization Theory

Learn how to extend Newton's Method to solve constrained optimization problems

Optimization, Newton's Method, & Profit Maximization: Part 1 - Basic Optimization Theory

Learn how to solve and utilize Newton's Method to solve multi-dimensional optimization problems

Predictive Parameters in a Logistic Regression: Making Sense of it All

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