Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 0

Machine Learning Coursera
Specialization contained 3 courses
1) Supervised Machine Learning: Regression and Classification
2) Advanced Learning Algorithms 
3) Unsupervised Learning, Recommenders, Reinforcement Learning


Develop your career with Google Cloud: ML and data Course 
On this course, skills were acquired in interacting with Google Cloud and its various products for project management, data storage and analysis, as well as building machine learning models and utilizing various APIs for it. 

Google Cloud certification "Cloud Digital Leader"
A successful candidate can articulate the capabilities of Google Cloud core products and services and how they benefit organizations. The candidate can also describe common business use cases and how cloud solutions support an enterprise.
Don`t have work experience.  
I recently graduated from the National Technical University of Ukraine "Kyiv Polytechnic Institute" (NTUU "KPI") with a bachelor's degree in Cybersecurity. In my bachelor thesis "Anomaly detection in RDP authentication logs" I applied machine learning to cybersecurity problems. 
At the same time, I have been developing my skills in Data Science with courses (kaggle, coursera, etc, datacamp), reading articles and watching videos about data science. Now I am starting to pursue my master's degree in Data Science, where i want to get deep understanding of modern technologies and solutions in DS.
kaggle: /andriikolesnyk
Ready for everything!