Laszlo Sragner

Laszlo Sragner has a strong background in data science and machine learning. Laszlo is the Founder of Hypergolic, a company that specializes in building better Machine Learning products. Laszlo provides full-stack consulting services, from strategy and use case discovery to execution and implementation. In 2022, Laszlo became an Advisor at Arize AI and a Machine Learning Lead at Sphere. Before that, they held the position of Data Science Lead at Tribe AI in 2021. From 2016 to 2020, Laszlo was the Co-Founder and Head of Data Science at Arkera, where they focused on Natural Language Processing, Recommender Systems, and Business Intelligence. Laszlo built the Data Science team from scratch and created the company's roadmap in Machine Learning. Prior to that, they worked as a Senior Data Scientist at King, where they focused on user behavior and game mechanics, and at OMAM as a Research Analyst and Portfolio Manager, where they co-managed a systematic CTA fund and developed portfolio optimization and risk allocation algorithms.

Laszlo Sragner holds a Master's degree in Computer Science from Budapest University of Technology and Economics. Laszlo later pursued a PhD in Non-Linear Modelling from the same university. Additionally, they attended the Investment Management Programme at London Business School. No specific start or end years were provided for these educational experiences.