Резюме Python developer

YURII *******

Computer Engineer

½

Ukraine, Kiev

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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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