I'm a Data Scientist and Data Product Manager with a background in Applied Physics, where my Master's focused on computational modeling of complex systems. Over the past five years I've worked across fintech, SaaS, retail, logistics, and healthcare, building predictive models, data pipelines, and analytics that drive real business decisions. What makes me a bit unusual is that I've lived on both sides of the table. I started as a hands-on Data Scientist building ML models and pipelines, then moved into Data Product Management, leading teams and owning products end-to-end. That means I think about instrumentation, metrics, and stakeholder needs before I think about the analysis, and I can translate between technical and business audiences naturally. I'm looking for a remote role where I can combine technical depth with product thinking, ideally in a fast-moving, high-ownership environment where my work has measurable impact. I'm especially drawn to problems involving messy real-world data, experimentation, and increasingly the application of AI and LLMs, which I've been exploring through personal projects like a RAG-based knowledge pipeline.
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