Python Developer
and Data Analyst
Skilled Python developer with extensive knowledge of algorithms for data
preprocessing, analysis,
and visualization.
Well-versed in Python standard library and libraries for data manipulation,
machine learning, and
AWS tools.
Experience
06.2019 – now
Software Engineer - Artificial Intelligence & Machine Learning at Lucid
LLC Lucid unites buyers and sellers of survey sample in over 90 countries. I
work as a software engineer in AI & ML team in Prague, partaking in the development of various
projects where we use such technologies as Python programming language (Pandas, sklearn,
jupyter, django, etc.), AWS (S3, EB, EC2, RDS, etc.).
09.2018 – 05.2019
Software Engineer - Artificial Intelligence & Machine Learning at Sizmek
Sizmek is the largest independent buy-side advertising platform. I worked in the AI & ML team in
Prague, performing various analysis on big data using such technologies as Python, Scala, and
Java programming languages, Apache Spark, Hadoop, Hive, HBase, etc.
03.2018 – 06.2018
Face recognition in movies for further analysis
Project within the framework of FIT (Faculty of information technologies) program "Cooperation
with industry".
09.2016 – 06.2017
Django backend for ElateMe - crowdfunding platform with elements of the
social network
Team project consisting of Android, iOS, and Web applications and back-end server. I’ve
implemented the first version of the REST server for the ElateMe platform. It is currently used
as a primary server.
07.2016 – 08.2016
N color interpolation problem in the Java language
Feedback: Yevhen produced a good solution to the problem in the Java programming language
without any need
for revision. He showed strength in Object-Oriented Programming, the ability to understand
programming task
descriptions, and completed the task faster than I expected. I would hire him again if future
work becomes available.
Education
2017–2020
Masters of Information technologies, Czech Technical University in Prague
Field: Knowledge engineering
Field: Knowledge engineering
Studied knowledge engineering and acquired a wide-ranging theoretical and
practical knowledge in data analysis and statistics.
Projects:
- Multi-instrument music transcription (Master’s thesis)
- Image similarity assessment using SURF algorithm
- Face recognition in movies for further analysis
- Automated machine learning library based on relative landmarks
2014–2017
Bachelor of Information technologies, Czech Technical University in Prague
Field: Software engineering
Field: Software engineering
I’ve got my bachelor’s degree in software engineering, so I have a great understanding and
experience in software architecture, OOP, test-driven development, and teamwork.
Projects:
- Django back-end for ElateMe - crowdfunding platform with the elements of the social network (Bachelor’s thesis)
Skills &
Languages
SKILLS
Programming
languages
languages
Data analysis
Python libraries
Other
Python
C++
Java
Scala
Pandas
sklearn
TensorFlow
Numpy
Matplotlib
Apache Spark
OpenCV
Scrapy
Django
BeautifulSoup
Git,AWS
Docker,SQL
Linux/Bash
LATEX
Front-end basics
Languages
English
Russian
Czech
Ukrainian
Full professional proficiency
Mother tongue
Professional working proficiency
Professional working proficiency
Open-source
GCSA
2017 – now
Google Calendar Simple API
Google Calendar Simple API or gcsa is a library that simplifies event and calendar management in
Google
Calendars. It is a Pythonic object‑oriented adapter for the official API
beautiful-date
2018 – now
Beautiful date
Simple and beautiful way to create date and datetime objects in Python
AutoML
2019
Automated machine learning
Simple automated machine learning library based on relative landmarks described in Sampling-Based
Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing by Carlos Soares,
Johann
Petrak, and Pavel Brazdil