Browsing: Scientist

first predictive model in healthcare looked like a home run. It answered the business question. The performance metrics were strong. The logic was clean. It also…

If you have studied causal inference before, you probably already have a solid idea of the fundamentals, like the potential outcomes framework, propensity score matching, and…

Open Instagram and you would think post-workout recovery begins and ends with an ice bath. After you hit ‘save’ on your Apple Watch, your run zips…

I DoorDash about five months ago. This is my first time starting at a new company as a Data Science Manager. DoorDash moves fast, expectations are…

: Limitations of Machine Learning As a data scientist in today’s digital age, you must be equipped to answer a variety of questions that go far…

are you sitting on right now? 10? 50? Maybe you’ve crossed 100 and you’re starting to wonder if you’ll ever break in. Well, I’ve been there…

be honest. Writing code in 2025 is much easier than it was ten, or even five, years ago. We moved from Fortran to C to Python,…

an article where I walked through some of the newer DataFrame tools in Python, such as Polars and DuckDB. I explored how they can enhance the…