I’m a data scientist and educator with a PhD in Biomedical Engineering. My academic background may not be in computer science, but it’s where I developed a strong foundation in analytical thinking, problem-solving, and working with complex datasets. I transitioned into the data science field in 2015 and have since worked in industry roles spanning biomedical diagnostics, market research, and gaming analytics.

Over the years, I’ve helped professionals and students alike gain confidence in Python, NumPy, and data analysis workflows. I’ve also taught and mentored at the university level, combining technical instruction with real-world applications.

My courses are built to be practical, clear, and beginner-friendly—whether you’re switching careers, deepening your skills, or just starting out in data. I believe that with the right approach, anyone can learn to use data to answer important questions.