You can see a list of my articles and projects on GitHub below!

New tools are coming out every day that can make our work easier within the fields of Data Science, Machine Learning, and AI. Comet ML is a promising tool that offers a platform with several helpful features, one being experiment management.

As a pet project, I built a system using Airflow, Docker, Python, and an AWS S3 bucket to monitor and track Bitcoin price fluctuations. When scheduled, the Airflow DAG file_to_S3 (1) hits the coinbase API every five minutes, (2) writes the results into an AWS S3 bucket, and (3) sends a confirmation to my personal email.

During my last semester in college, I was brushing up on many topics that I had studied throughout my education. One of those topics was SQL. I had taken a class and a few online courses on SQL and Database Design & Management before, but I was hoping to improve my skills before I graduated and entered a career in Data. There was one problem, though: I didn't have a working environment to practice my SQL.

Recommending the right questions for a programmer to solve is a challenge for online education platforms. Nevertheless, this is essential to keep users engaged.

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