You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
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.
Read this far? Check out the full list of my projects here
Code used for the completion of my thesis - Improving Flood Maps by Increasing the Temporal Resolution of Satellites Using Hybrid Sensor Fusion - Video Interpolation Networks
