Position: Junior Data Scientist, Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 0

Education:
-National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”: Master's Degree in Computer Science;
-Kyiv National University of Technologies and Design: Master's Degree in Business Administration.

Certificates:
-DataRoot Labs: Data Science Fundamentals;
-Stepik: Python Programming; Python Basics and Using; Introduction to Data Science and Machine Learning; Basic Statistics (all by Bioinformatics Institute); Machine Learning; Introduction to Artificial Neural Networks (both by Omsk State Technical University); Neural Networks and Computer Vision (by Samsung Research Russia);
-Kaggle: Python; Pandas; Advanced SQL; Intro to SQL; Feature Engineering; Time Series; Data Cleaning; Data Visualization; Intermediate Machine Learning; Intro to Machine Learning; Machine Learning Explainability; Intro to Deep Learning; Intro to Game AI and Reinforcement Learning; Computer Vision; Natural Language Processing; Geospatial Analysis; Intro to AI Ethics; Microchallenges.

Courses:
-EPAM Systems: Python Online UA; Version Control with Git;
-Coursera: Machine Learning (by Stanford University); Applied Plotting, Charting & Data Representation in Python; Introduction to Data Science in Python (both by University of Michigan); How to Win a Data Science Competition: Learn from Top Kagglers (by Higher School of Economics University);
-Devclub (offline): Boot Camp (C/C++).
I have no commercial experience yet, but I have done several projects during my studies at DataRoot Labs and EPAM Systems:
-solved classification problem using machine learning algorithms; worked with dataset, implemented feature engineering, data preprocessing; chose, trained and saved the model; wrote an API to use the trained estimator; dockerized the application;
-created a web application for managing departments and employees using Flask, MySQL and SQLAlchemy.