I'm a problem solver at heart, always seeking interesting challenges and elegant solutions. As an engineer turned data scientist, I’m passionate about using data-driven approaches to tackle complex problems.
Currently, I'm a Sr. Data Scientist II at KKR, where I develop advanced AI models and platforms to drive innovation and impact. I specialize in full-stack developement of AI-driven tools and process automation, with a focus on enhancing operational efficiency and improving investment decisions. Previously, I was a Data Science Associate at Morgan Stanley, where I developed advanced data pipelines, improved model accuracy, and collaborated across teams to leverage cutting-edge AI technologies.
My passion for data science is matched by my drive for continuous learning and exploring new methodologies. I hold a master’s degree from The Cooper Union (see coursework), where I worked on augmenting satellite imagery through deep-learning-based synthesis.
When I'm not diving into data, I'm exploring the world of cooking and always looking for new ways to expand my knowledge.
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I'm focused on pushing my boundaries and expanding my thinking, constantly challenging myself to learn and grow outside the comfort zone of traditional education and professional routines.