My story

I like building things that make sense of messy data — systems that see patterns where humans see noise.

I grew up in Dhaka, studied Computer Science, and spent my early twenties building small software projects for local clients. Somewhere between debugging code and training my first machine learning model, I realized what I really enjoyed wasn't just writing code — it was teaching machines how to learn from data.

To get better at that, I moved to Canada to study Data Science at the University of British Columbia. During my time there, I worked with Statistics Canada on clustering models for urban analytics and fell in love with the rigor of applied research.

These days, I work as a Data Analyst at BC Rapid Transit Company, where I build dashboards, automate data pipelines, and design systems that help engineers make faster, data-informed decisions.

In parallel, I'm developing a SaaS-based personal finance app for Canadian users — part experiment, part obsession — where I'm exploring how machine learning can make financial decisions more transparent and personalized.

I'm still learning, still building, and still figuring out how to connect data, design, and human intuition into something useful.