A complete step-by-step guide that automates the heavy lifting and lets you focus on the content — Launching you own website is a great way to stand out from the crowd, and establish your personal brand online. In this post, I’ll share a step-by-step guide for building and launching a site that looks clean and professional, and is easy to maintain. You’ll learn how to: build your…

The most useful computer science class you’ve probably never taken — One thing that I have consistently observed throughout my career is that the most productive data scientists and engineers have usually one thing in common: they’re command-line wizards. They can navigate their computer’s file system, search for patterns in log files, and manage jobs, source code, and version control all…

Practical tips for the coding, design, and behavior rounds — I recently landed an offer with Meta as Machine Learning Engineer (MLE), gaining a 20% raise in my total compensation relative to my previous job as well as a promotion to a senior role. In this post I’ll outline the interview structure, how I prepared, and practical tips on how…

Five lessons from the trenches of applied data science — Class imbalance, where one class is much more abundant than the other, is one of the most ubiquitous topics in data science literature. Searching for ‘class imbalance’ on Medium alone reveals numerous articles with titles such as: “Dealing With Class Imbalanced Datasets For Classification” “How to Effortlessly Handle Class Imbalance…

Forget ‘quiet quitting’: 3 strategies for creating more business impact with fewer hours — During my career journey so far (first at JP Morgan Chase, then at Amazon), I’ve met some peers that appear to be constantly stressed out: they put in long hours and work hard, without creating that much real impact. …

How machine learning models recommend people to people — Connections are at the heart of social media. The fundamental value hypothesis is that connected users are more engaged, and engaged users are more likely to come back. ‘How can we make users more connected?’ is therefore one of the most critical questions in a social media application. …

Cookies and privacy, interleaving experiments, clean dial-ups, and test metrics — A/B testing is one of the most critical steps in Machine Learning production: we only want to roll out a new ML model if it can be proven to be better in production. In Part I of this series we covered how to set up an A/B experiment with a…

How today’s tech companies make data-driven decisions in Machine Learning production — A/B testing is is deeply ingrained in modern tech companies, enabling them to continuously improve their product in order to stay on top of consumer preferences and beat the competition. A Lyft article states that: The norm is to test each and every product change, to build up evidence to…

How to turn ML models into useful business actions: a primer on MLOps — Like many people starting out in ML, one of the first problems that I got my hands on was the Titanic dataset. The task in this problem is to ‘predict’ whether a passenger survived the Titanic disaster or not, given features like ticket class, cabin location, gender, age, and so…