Alexander Vasilyev
About Alexander Vasilyev
Alexander Vasilyev is a Machine Learning Engineer currently employed at Liftoff Mobile in Paris, having previously worked as a Data Scientist at Celtra, Inc. in Ljubljana and as a Product Manager at Emotion Graphics.
Work at Liftoff Mobile
Alexander Vasilyev has been employed at Liftoff Mobile as a Machine Learning Engineer since 2021. His role involves applying machine learning techniques to enhance mobile marketing solutions. Based in Paris, he contributes to the development of algorithms that optimize user engagement and improve ad performance. His expertise in machine learning and strong programming skills support the company's goals in delivering effective mobile advertising strategies.
Previous Experience at Celtra, Inc.
Prior to his current position, Alexander worked as a Data Scientist at Celtra, Inc. from 2018 to 2021 in Ljubljana. During his three years there, he focused on data analysis and modeling to drive insights for advertising solutions. His work involved leveraging statistical methods and machine learning to improve product offerings and client outcomes.
Background in Product Management and Development
Before his tenure at Celtra, Alexander served as a Product Manager, Web and Mobile Developer at Emotion Graphics from 2015 to 2018. His responsibilities included overseeing product development and managing teams to deliver interactive applications. This role enhanced his skills in project leadership and technical development across various platforms.
Educational Qualifications
Alexander holds a Doctor of Philosophy (Ph.D.) in Computational and Applied Mathematics from Univerza na Primorskem, where he studied from 2011 to 2014. He also earned a Master's Degree in Applied Mathematics from Volgograd State University, completing his studies from 2000 to 2006. His strong mathematical foundation supports his work in machine learning and data science.
Technical Skills and Expertise
Alexander possesses strong programming skills in several languages including R, Swift, SQL, and Python. He is proficient with Deep Learning frameworks and Spark, which are essential for his work in machine learning. His hands-on experience includes creating client-facing prototypes of AI-related products, showcasing his ability to bridge technical development with user needs.