Yurii
Резюме Python developer
13 декабря 2020 г.Киевская область
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YURII *******
Computer Engineer
½
Ukraine, Kiev
[
Ó
*************
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linkedin.com/in/yurii-*******-0683bb169/
https://github.com/dfy24
TECHNICAL SKILLS
Python3
Pandas
NumPy
matplotlib
JavaScript
SQL
HTML
CSS
Java
C
Tensorflow
Jupyter notebooks
Assebler
Git
Unix
bash scripting
PROJECTS
Hunted (drones)
2019 – 2020
½
Luxembourg
• Developed a mapping program to convert co-
ordinates that were received from the drone,
to the real map (Python).
• Made a website for PCOG (HTML, CSS,
HUGO, Git).
• Developed a web application (JavaScript).
Problem Solving Project
September 2019 – January 2020
• Evolutionary Reconstruction of a shredded
picture (Python, TensorFlow, Pandas).
Twitter Sentiment Analysis
February 2019 – June 2019
• Using CNN-LSTM model for Twitter Senti-
ment Analysis (Python, TensorFlow, Pandas,
NumPy).
SVEM
February 2019 – June 2019
• Implementation of such software vulnera-
bilities as buffer and heap overflow (Linux,
command line, C, Assembler, GNU Debugger
(GDB)).
COURSES
• Coursera Python3.
• SQL for Data Science.
• Machine Learning Crash course from Google.
• Linux Professional Institute(LPI).
SOFT SKILLS
• 5 years of martial arts and 2 years of ballroom
dance.
• 8 completed years of musician school (violin
and piano).
EDUCATION
National Technical University of Ukraine “KPI”
BS Computer Engineering
2014 – 2018
½
Ukraine, Kiev
• Secure Routing Methods for Grid-based Systems
• Multi Routing in Software-Defined Networking
• Ways of Increasing Efficiency of Energy-Aware Traffic Engi-
neering in Hybrid SDN/IP Backbone Networks’ // International
Conference “ICSFTI2018”, Kyiv – 2018.
MS Computer Engineering
2018 – 2020
½
Ukraine, Kiev
University of Luxembourg
MS Computer Science
studied for 1 year
½
Luxembourg, LU
• Problem Solving.
• Knowledge of Distributed Systems concepts, such as self-
stabilizing systems, Dijkstra’s and leader election algorithms,
etc.
• Intelligent Systems. Knowledge of Machine Learning and Data
Science concepts, basic knowledge of TensorFlow, familiar
with CNN/LSTM methods.
• Knowledge of Software Vulnerabilities concepts, such as
buffer overflow, sql-injections, etc.
EXPERIENCE
Research and development assistant
PCOG
2019 – 2020
½
Esch-Sur-Alzette, LU
Supported project called “Hunted” from US naval forces
for Parallel Computing and Optimisation group led by Prof.
Pascal Bouvry.
LANGUAGES
Ukrainian
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Russian
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English
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German
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Finish
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