Eugene

Eugene Shershen
Odesa, Ukraine
Phone: [открыть контакты](см. выше в блоке «контактная информация»)
E-mail: [открыть контакты](см. выше в блоке «контактная информация»)

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EDUCATION:

 2022 – now – Odesa National Polytechnic University
Specialization – Software engineering
Qualification – software engineer

ADDITIONAL EDUCATION:

 2024 – “QA Automation Python” in Hillel IT School;
 2024 – “Intermediate English course” in Green Forest.

FOREIGN LANGUAGES:

 English: intermediate;
 Russian: native;
 Ukrainian: fluent.

TECHNICAL SKILLS:

 Knowledge of Python and its structures;
 Knowledge of OOP methodology;
 Working with files: JSON, CSV;
 Working with system monitoring tools: psutil, subprocess, ffprobe;
 Creating and formatting Excel files on the development level, including generating charts,
using Pandas;
 Handling remote script execution and file transfer via SSH with Paramiko;

 Knowledge of DB structure;
 Basic working experience with PostgreSQL;
 Working with ORM (Object-relational mapping) using SQLAlchemy;

 Knowledge of REST API testing;
 Working experience with data parsing: XPath, CSS, Regular Expressions;
 Using regular expressions for parsing command-line output;
 UI testing with Selenium;
 Knowledge of Page Object approach;

 Working in CLI (command line interface) of Linux-based systems (Linux Mint, Raspbian);
  Experience in developing Python scripts (for Windows and Linux based OSs);

 Fundamentals of Version Control System using Git;
 Working experience with Docker;
 Basic working experience with reports: HTML reports, Allure;
 Fundamentals of Continuous Integration systems using Jenkins.

WORK EXPERIENCE:

 2025 – project “Remote System Load Testing Automation”
(https://drive.google.com/drive/folders/1Kxn7RIZPHpLF3UO-AhLzZnv0vVdlNVJH)

Project’s goal: Development and implementation of an automated system for load testing on
a remote Raspberry Pi 5 device.

The testing process involved:
- monitoring CPU and Memory usage during video playback,
- collecting metrics at regular intervals,
- generating Excel reports with dynamic diagrams.

Approaches used during the development Python scripts:
For both local and remote execution, it’s been used:
- Paramiko for SSH communication and file transfers,
- psutil for resource tracking,
- pandas, xlsxwriter for the report creation.

The solution supports full automation: transferring scripts, running tests remotely, retrieving
results, and cleaning up temporary files.

 2024 – project “DB Testing Automation System”
(https://github.com/EugeneShershen/DB_Testing)

Project’s goal: Development and implementation of an automated system for testing simple
Database.

The testing process involved:
- testing database queries and validating data and expected outputs defined in JSON
format;
- building Docker image of the test cases and launching it;
- executing testing via Jenkins;
- creating testing report using Allure.

Approaches used during the testing DB:
For testing Database, it’s been used:
- pytest, assertpy for creating test cases,
- psycopg2, sqlalchemy for connecting and making queries to the Database,
- logging, allure-pytest for the report creation.

Database’s information: The database consists of three tables – “Course”, “Student” and
“RegistrationList”, representing a university environment. Used PostgreSQL as the target
DBMS (Database Management System).