Network

Ameen Kazerouni

Chief Analytics Officer

Orangetheory Fitness

Connect with Ameen

Ameen is currently the Chief Analytics Officer at Orangetheory Fitness. Over the course of his career he has had the opportunity to use machine learning in a variety of fields ranging from clinical research, medical imagining, data warehouse design, e-commerce, and now fitness. His core areas of interest shifts depending the problem he is tackling and he is currently focused on the challenges of operationalizing large volumes of data into scalable customer facing solutions and strategic initiatives. A core belief of his is, "Build experiences not algorithms", which drives his team to put forward scalable solutions with measurable impact on experiences. In his free time Ameen enjoys keeping up to date with the latest methods in Artificial Intelligence, the newest Comedy Specials on Netflix, burning his savings on expanding his Smart Home and reading papers on the strides being made in Quantum Computing and pretending like he understands them.

He previously led the Data Science and Machine Learning platform team at Zappos.

Conference Sessions

Executive Summit Roundtable Discussion

Executive Summit

TWIMLcon 2021

This summit begins with a series of short conversation starters by accomplished ML/AI leaders, followed by a Q&A and open discussion among Executive Summit participants Ameen Kazerouni. chief analytics officer of Orangetheory Fitness, Paul van der Boor, senior director of data science at Prosus Group and Hussein Mehanna vice president and head of ML/AI at Cruise.

Building Teams and Culture that Support ML Innovation

Executive Summit

TWIMLcon 2021

Traditional approaches to managing technical projects and teams or establishing organizational culture can be at odds with quick innovation and success, particularly with machine learning and AI. Here, we discuss how ML/AI executives can build highly effective ML teams, support them, and shift the broader organizational culture toward innovation and adoption of ML.

Machine Learning in Production: What to do after you’ve trained the models?

Case Study

TWIMLcon 2019

The search feature is often the first step for online shoppers. Providing personalized search results is crucial to the E-Commerce experience while posing a challenging and intellectually stimulating engineering problem. In this session, we will use Search as a case study to focus on the technology that allows us to serve these models in highly scalable production environments.