Welcome to my little corner of the internet.
I love turning numbers into ML systems that solve real-world problems.
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 — practical, clean, and impact-focused.
Using statistics and models when they actually explain something useful.
Building ML systems that survive outside notebooks.
If it doesn’t help users or teams, it doesn’t excite me.
Real-time sentiment analysis platform transforming YouTube comments into actionable insights. Built with MLflow for tracking, DVC for pipelines, and FastAPI for deployment.
I'm always open to discussing data science opportunities and collaborations