I’m a Data Science grad student at CU Boulder with experience in data engineering and data science. I enjoy building clean, reliable, and useful solutions: from ML pipelines to automation tools. My interests include MLOps, ethical AI, and the behind-the-scenes work that helps teams work faster and smarter.
I started writing to share my development and reflect on the learning process, while connecting with the data community. If you’re here, thank you for reading, and if you’re working on something similar, let’s connect!
Internships, Full-time roles, Collaborations on Data Science projects, and Research opportunities in ML, NLP, and Data Engineering.
Oct 16, 2025 · 3 min read · You’ve probably seen this line a lot: “I’m passionate about using data to derive actionable insights.” It’s the sentence that shows up in every cover letter, résumé summary, and LinkedIn headline. But here’s the thing, you can’t “derive insights” i...
Join discussionSep 11, 2025 · 3 min read · When people hear data science, they think about training machine learning models, predicting the stock market (good luck with that), or building recommendation systems like Netflix. But the reality is, before you get to the “fun” part, most of your t...
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