About Me

From data to decisions —
building ML systems that deliver impact

I'm a Data Scientist and Machine Learning Engineer focused on building practical, end-to-end machine learning systems — from data modeling to deployment. Currently building domain expertise in fintech and lending risk at Ecofy, a green lending company focused on EV and solar finance, working across data warehousing, SQL, and Python.

I have hands-on experience in predictive modeling, credit risk analytics, and applied machine learning, along with exposure to LLM-based systems and AI-driven workflows. I focus on designing solutions that balance performance, scalability, and efficiency.

I bring a product-driven and domain-focused mindset — thinking beyond models to how they integrate into systems, scale in production, and create measurable value. My work spans ML pipelines, backend APIs, risk analytics, and deployment workflows.

Open to opportunities as a Data Scientist / ML Engineer where I can contribute to building impactful, production-ready AI and analytics systems.