Leonid Prilutskiy

Leonid Prilutskiy has a diverse work experience in product management. Leonid began their career at Axiom as an Associate in 2015, where they focused on various product management responsibilities until 2019. During this time, they gained experience in standard data model creation, pricing research, and compiling product KPIs.

In 2019, Leonid joined Knowable and took on the role of Associate, Product Management. Here, they continued to contribute to the company's data model creation and governance efforts. Leonid also participated in pricing research and analysis, as well as compiling product KPIs for investor diligence and commercial strategy purposes.

In 2021, Leonid was promoted to Product Manager II at Knowable and further developed their skills in product management. Currently, they hold the position of Senior Product Manager, demonstrating their growth and expertise in the field.

Leonid Prilutskiy's education history starts with earning a Bachelor of Arts (B.A.) degree from Rutgers University, which they completed from 2007 to 2011. Leonid then pursued higher education and obtained a Doctor of Law (J.D.) degree from Emory University School of Law, graduating between 2012 and 2015.

In addition to their formal education, Prilutskiy has also earned several certifications. In 2017, they completed a course on "Business Metrics for Data-Driven Companies" through Coursera. More recently, they have obtained certifications in various areas of data science and machine learning. These include "AI For Everyone" from Coursera in September 2022, "Supervised Machine Learning: Regression and Classification" from Coursera in August 2022, "Probability - The Science of Uncertainty and Data" from MITx on edX in May 2022, "Introduction to Computational Thinking and Data Science" from MITx on edX in December 2021, "Introduction to Computer Science and Programming Using Python" from MITx on edX in August 2021, and "CS50's Introduction to Computer Science" from edX in March 2021. Furthermore, they completed the "Machine Learning Rock Star – the End-to-End Practice Specialization" through Coursera in November 2020.