I'm a problem solver at heart, always on the lookout for interesting challenges and elegant solutions. As an engineer turned data scientist, I'm passionate about using data-driven approaches to tackle complex problems and drive meaningful impact.
Currently, I'm a Sr. Data Scientist II at KKR, where I develop advanced AI models and platforms to drive innovation and enhance operational efficiency. My focus is on full-stack development of AI-driven tools and process automation to improve investment decisions across KKR's $70B+ deployed capital. Previously, I was a Data Science Associate at Morgan Stanley, where I worked on advanced data pipelines, improved model accuracy, and collaborated with cross-functional teams to leverage cutting-edge AI technologies.
I hold a master's degree in electrical engineering with a concentration in machine learning from The Cooper Union, where my thesis involved augmenting satellite imagery through deep-learning-based synthesis for improved flood response planning.
Beyond my professional work, I'm passionate about continuous learning, exploring new methodologies, and collaborating on projects like DanceMuse, which brings dance-generating AI models to the hands of dancers and choreographers.
When I'm not working with data, you can find me experimenting in the kitchen, always eager to learn new recipes and expand my culinary skills.