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

* 1-st place at the science competition 'Young Scientist International' 2019 (Kyiv, Ukraine)
* 3-rd place at the NeuroHackathon 2019 from Ciklum (Kyiv, Ukraine)
* My own project about human diagnostics based on a liver sonography image analysis (texture analysis and machine learning techniques such as random forest, multilayer perceptron, XGBoost and EFA, PCA, Kernel PCA and others)
I have a B.S. in Computer Science (NTUU "Igor Sikorsky Kyiv Polytechnic Institute").

Python, R, Matlab, C/C++, SQL (MySQL, PostgreSQL), Github, Jupyter Notebook, Power BI

Python:
pandas, numpy, scikit-learn, visualization (matplotlib, seaborn), scipy, pyradiomics, requests, GUI (PyQT 5), Pillow, Deep Learning (TensorFlow, keras), Operationalization (Flask)

Mathematics: 
Machine learning, probability theory, statistics, linear algebra, fuzzy logic, mathematical optimization, sorting and searching algorithms.

Worked (0.5 of a year) as:
1) Research Assistant (Ryerson University in Toronto, Canada) - 4 months
2) Data Science Intern (Institute of Nuclear Medicine and Diagnostic Radiology of NAMS of Ukraine in Kyiv)  - 2 months
* I seek to join a high-level team of Data Scientists to work with large amounts of data and become much more experienced.
* I am currently studying and therefore - the flexible schedule is highly preferred.