Position: Junior Data Scientist
Category: Data Science
English level: upper
Years of experience: 0.5

Kaggle competitions: 
* Dogs vs. Cats Redux: Kernels Edition - score: 0.34494
* House Prices: Advanced Regression Techniques - score: 0.12449
* Digit Recognizer - score: 0.99489
Experience:
Finance Management Trainee at Unilever
* Gross Margin Variance Analysis
* Support Net Revenue Management process in Ukraine
* Support the process of Finance Digital Transformation
* Analysis of deviation of actual results from the forecast

Data Analyst / Consultant at EY Ukraine
* Support information intelligence, including collection, storage, and processing of big arrays of information
* Provide data analytics services to help clients solve business problems
* Conduct information research, prepare management reports
* Analysis of outcomes and visualization

Skills:
* Good knowledge of Machine Learning algorithms background (regression, instance-based, regularization, tree-based, Bayesian, clustering, deep learning, dimensionality reduction, ensemble)
* Strong knowledge of linear algebra, statistics, probability theory
* Processing/analysis of big arrays of information

Familiar with:
* HTML/CSS
* Django/Flask
* RESTful API
* Docker
* Git

Data Science Fundamentals by DataRoot Labs alumni
I would like to work and grow in a professional team, which is always ready for new challenging tasks, result-oriented, ready to share their experience, and hires juniors not just for monkey jobs.
As for me - I am a responsible team player, self-motivated student, and ambitious person who is always actively listening/searching/learning.