I bring a unique blend of rigorous mathematical expertise, rooted in my time at the Ph.D. program at UCLA, and extensive real-world experience from working at renowned startups like The Honest Company, Headspace, AtomTickets, and FabFitFun. My journey began as a software engineer, spanning from 2000 to 2012, which equipped me with a solid foundation to transition in 2012 into the world of data science.
Over the years, I’ve pioneered several innovative data-driven solutions.
Notably, I’ve architected recommendation engines from the ground up, devised retention models to enhance user engagement, and implemented sophisticated algorithms to detect fraudulent activities.
My dedication to the field is also reflected in my publications.
One of my notable works explores the application of genetic programming to e-commerce,
while another delves into harnessing the power of embedding techniques from LLM to provide real-time answers to consumer queries about inventory.
What sets me apart is my ability to bridge the gap between technical rigor and business strategy.
When discussing data science products with CEOs and stakeholders, I emphasize not just the technical intricacies but also the tangible business impacts and transformations they drive.
