Pavel Pozdniak

Pavel Pozdniak is a Principal AI Engineer at Fuel50 since 2015. Prior to working at Fuel50, they were a Software Developer at FarPost from 2012 to 2015. Pavel began their career as an engineer programmer at the Institute of Automation and Contol Processes in 2005, where they worked until 2012.

Pavel Pozdniak completed their Master's degree in Applied Mathematics from FESTU in the years 2002 to 2008. Pavel also obtained various certifications from different institutions. In 2018, they completed the certifications "Database Clinic: Neo4J" and "Learning Neo4j" from Lynda.com. In the same year, they also obtained the certifications "Machine Learning & AI: Advanced Decision Trees" and "Machine Learning & AI Foundations: Decision Trees" from Lynda.com. In 2017, they completed the certification "Machine Learning & AI Foundations: Recommendations" from Lynda.com, and in 2017, they completed the certification "Building Deep Learning Applications with Keras 2.0" from Lynda.com. Prior to that, in 2015, they completed the certification "Introduction to Recommender Systems" from Coursera Verified Certificates. In 2015, they obtained the certifications "edX Honor Code Certificate for Scalable Machine Learning" and "edX Honor Code Certificate for Introduction to Big Data with Apache Spark" from edX. In the same year, they also completed the certification "edX Honor Code Certificate for Statistics and R for the Life Sciences" from edX. Furthermore, in 2014, they completed the certification "Functional Programming Principles in Scala" from Coursera, as well as the certifications "Developing Data Products," "Introduction to Data Science," "Practical Machine Learning," "Regression Models," "Statistical Inference," "Exploratory Data Analysis," "Getting and Cleaning Data," "Reproducible Research," and "R Programming" from Coursera.