Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 1

1st place at NBU hackathon (computer vision track)
1st place at medical image segmentation competition (BEST course)
100% exam at KU Leuven data science course (BEST course)
Participation at Kaggle competitions.
Volunteering experience (5th Data Science UA Conference and Visualization Course)
Data Science Internship at Skein
Successfully implemented a classification model for the health-care project. I also worked with Google Analytics and made reports with Power BI.

Lviv Data Science Summer School
Attended courses: Machine learning for financial data structures, Security and Privacy of ML, Deep Learning for Computer Vision, Conversational design, Automated Machine learning.
Final project: representation learning for image classification.
Technologies: Pytorch, Fast.ai, Faiss.

BEST Course on Technology (Belgium, Leuven)
I completed the course at KU Leuven. Also, I participated there at medical image
segmentation competition and was a team leader (1st place). Final exam after
course: 100%
Technologies: Keras, imgaug, OpenCV, matplotlib.

Data Science Trainee at Data Root University
Studied machine learning, data analysis & deep learning. Completed several
courses at Cousera. Implemented the final team project related to NLP (SEO
requests clustering and correction).
Technologies: nltk, pymorphy.

Also, worked with Excel, Tableau and PowerBI.

Kaggle projects:
Santander Customer Transaction
Prediction - binary classification. Main technologies: CatBoost combined with LightGBM. TOP 20%.
Predict Future Sales : TOP 25% - regression
Looking for interesting projects with challenging tasks. 
Passionate about Computer Vision, customer, and financial analytics.