Kanstantsin is a Data Scientist who strives to solve business problems with a defined plan at all stages of the development process. He has considerable hands-on experience in using Machine Learning and statistical methods in various domains as well as solving business problems starting from problem definition up to model fine-tuning and solution deployment. He is profoundly knowledgeable about current trends and approaches to Machine Learning. Kanstantsin works with popular frameworks and packages in both R (tidyverse + caret) and Python (pandas/numpy + scikit-learn). He constantly follows the latest trends in Machine Learning and never stops investigating new techniques and technologies to expand his skill set.
Vladimir has 10+ years of experience in software development. Over the course of his career, he has been part of 15 successful project implementations. Vladimir specializes in artificial intelligence and machine learning, distributed systems design, NoSQL and Hadoop-based systems benchmarking, permissioned blockchains, data engineering, and development of data-centric apps. As an expert in NoSQL databases, he has authored a number of research papers, comparing the performance of Apache Cassandra, Redis, MongoDB, and Couchbase. Vladimir also serves as a trainer and a data evangelist. He is responsible for analyzing requirements, preparing training materials, and conducting training sessions. Vladimir is an active member of the Open Data Science Community.
Our customersHere is what our customers say about us
Arpad Rozsas, Neural Networks and Deep Learning training, Madird
"Biggest value of the course? Combination of conceptual and practical contents. Showing the state-of-the art achievements and hence developing a feeling what can be achieved with DNN".
Ramesh Balasubramanian, Machine and Deep Learning Training, San Diego
"Great experience! Very knowledgeable and friendly trainers. Biggest value of the course - practical examples/issues the trainers provided based on their experience".