I'm a Data Science and Analytics leader with 16 years of experience at major tech companies like Peacock TV (NBCUniversal), Apple, eBay, and Yahoo. My expertise lies in digital analytics, consumer insights, experimentation (A/B testing), and driving product and revenue growth through data-driven strategies. Throughout my career, I've led and scaled experimentation programs that have had significant business impacts, such as generating $150MM+ in additional subscription revenue at Peacock TV. I've implemented advanced statistical methods and data pipelines to improve decision accuracy and reduce false-positive rates in A/B testing. I've developed self-serve tools and standardized processes that have increased testing efficiency and empowered stakeholders. I'm skilled in managing and mentoring teams of data scientists and analysts, and I have a track record of presenting complex data insights to high-level executives, including VPs and SVPs. My technical expertise includes SQL, Python, Excel, and various BI tools like Tableau and Looker. I'm committed to continuous learning, as evidenced by my personal projects involving AI/ML, LLMs, and e-commerce. My career shows a consistent pattern of solving complex data challenges, optimizing processes, and driving data-informed decision-making across different industries, including streaming services, tech, e-commerce, and logistics.