Alexander Mokryak

Alexander Mokryak has a diverse work experience in the field of technology and machine learning. Alexander started their career as a Web Developer at Children's Hope International in 2006 and then worked as a PHP Developer at Conteksoft LLC. During this time, they developed online services and projects for various clients, including a learning portal and hotel booking service. In 2010, they worked as a self-employed Web Developer, where they developed multiple websites.

In 2011, Alexander joined Banki.ru as a Software Engineer, where they designed and developed the backend for a bank offices and ATM search service. This service allowed users to search for different types of banks based on various criteria.

In 2014, they became a Senior Software Engineer at B2B-Center, an e-marketplace. Here, they created and implemented a category prediction service for commodity items, which saved 40% of employees' time spent on classification. Alexander used machine learning techniques such as k-nearest neighbors and Naive Bayes for text clustering and classification.

Since 2018, Alexander has been working at Exness, initially as a Data Scientist and Machine Learning Engineer in the Business Intelligence department. Alexander developed and implemented a lifetime value (LTV) prediction model, which improved the performance of the acquisition team. This model predicted the expected revenue from each user and helped optimize user acquisition strategies. Currently, they are the Machine Learning Team Lead at Exness, where they lead a team responsible for developing and deploying machine learning models. Alexander has built an ML platform using Kubeflow, which has increased the efficiency and accuracy of model deployment.

Alexander Mokryak completed their Master's degree in Applied Mathematics and Computer Science from Tomsk State University, which they attended from 2001 to 2006. In 2018, they obtained a Nanodegree in Deep learning from Udacity. In the following year, 2019, they participated in a course titled "18.6501x: Fundamentals of Statistics" at the Massachusetts Institute of Technology. Additionally, they have obtained several certifications, including "Data Engineering on Google Cloud Platform Specialization" from Coursera in January 2019, "Deep learning Nanodegree" from Udacity in April 2018, and "ICAgile Certified Professional (ICP)" from ICAgile in September 2013.