I'm a Data Scientist and Operations Researcher with a passion for problem-solving, especially if it involves math, software and big data. I have multiple certifications in Azure and Databricks. I like to write hands-on articles and tutorials in Medium to teach others what I've learned in the way I would've loved to be taught. I'm a compulsive learner, a Science advocate, and an increasingly-skeptic extropian.

I'm an aerospace engineer and a self-taught data scientist. I started my data science journey right after graduation. I realized during my last year of college (mainly by reading The Master Algorithm and The Singularity is Near) that software, data analytics and AI are ubiquitous technological forces with a huge potential to transform nearly all areas of live and business. Up to that point, the physics of flight was to me the coolest area to apply mathematics, reasoning, and problem-solving. But having discovered AI and the doors to innovation it opened, I could not help but give it a try. It was well worth it. It had all the other intellectual ingredients I was yearning for, plus the missing piece that rocket science didn't require as much: problem-solving through creativity. Since then, I've been marvelled at the "unreasonable effectiveness of algorithms in the business sciences". The fact that it is possible to build intelligent systems that efficiently automate tasks, accurately predict outcomes, or optimally prescribe actions, and hence contribute to the betterment of lives, companies and societies is, to me, a miracle. And harnessing the power of that miracle is my mission.

LinkedIn is where my read-to-write ratio is much higher than in a code base 😊, although I post some thoughts (and re-post other people's better thoughts) from time to time. Feel free to drop me a message there if you'd like to connect.

Medium is where I write blog posts for ideas too long for a LinkedIn post, or long-form articles explaining "complex" ideas in "non-complicated" terms, with a hands-on focus so people can code along when they read along. I write mainly for Towards Data Science on topics like Data Science, Operations Research, Visualization, Data Analytics, Machine Learning and Optimization. All from a Pythonista perspective.