I'm a data scientist who genuinely enjoys working with numbers, models, and real-world problems.
With 2.5+ years of experience in FinTech, I focus on building end-to-end machine learning solutions
that turn messy data into something people actually use.
I enjoy explaining complex ideas simply, optimizing models until they behave nicely, and approaching
data science with an engineer's mindset β practical, clean, and impact-focused.
Math with Meaning
Using statistics and models when they actually explain something useful.
Clean, Practical ML
Building ML systems that survive outside notebooks.
Impact over Hype
If it doesn't help users or teams, it doesn't excite me.