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Andrii Davydenko
Trainee/Junior Data Engineer

Summary of Qualifications

February 2022 – October 2022
Wrote tests on Selenium Web driver, Pytest, Unittest(Page object).
Worked on optimization and automatization reports for 1C, Oracle databases using combination of SQL, Python (NumPy, Pandas, Matplotlib, SQLite, Oracle). Visualized on reports (Excel, PowerBI). Creating calculation tables for other departments depending on their demands.
Have interest in systems for management data

Skills
Programming Languages/Technologies
• Reverse Engineering/Design Patterns
• Technical Documentation
• XML/JSON
• Python
• Numpy/Pandas
• HTML/CSS
• SQL
RDBMS
• Oracle
• MySQL
NoSQL
• MongoDB
Virtualization Tools
• Docker
Methodologies
• Agile, Scrum, Kanban
• Test Driven
• Waterfall
Operating Systems
• Microsoft Windows
• Linux
• macOS
Frameworks/Libraries
• Matplotlib/Seaborn
• Flask
• Chrome webdriver
• Selenium
Application/Web Servers
• Heroku
• Apache
• Postman
Development Tools
• Visual Studio Code
• PyCharm
Testing Tools
• Pytest
• Unittest
Hardware
• Different technological device

Experience

System for optimizing reports
Project Description:
Environment that automatically preparing a report for analytics and other department using jupyter notebook environment for saving time and reduce the cyclic manual work
Customer:
UA company
Involvement Duration:
7 months
Project Role:
Junior Data analyst
Responsibilities:
• Architecture and design; creating an analogue of pipeline for extracting data from existing DBs
• Knowledge sharing, coaching; teaching other workers how to use environment so they can work faster as well
• Estimation, prioritization, and distribution of tasks; I played a key role in estimating the effort required for each task, prioritizing them based on business value, and distributing tasks among team members. This involved considering factors such as complexity, dependencies, and resource availability.
• Development build and deployment scripts in the code development phase, I translated design specifications into functional code. This included writing modular and maintainable code, adhering to coding standards;
• Product support and documentation maintenance. After executing scripts, I provided ongoing product support by addressing issues reported by teammates and maintaining documentation. This involved troubleshooting, bug fixing, and updating documentation to reflect any changes in the system
Project Team Size:
2-6 team members
Tools & Technologies:
Oracle, Python, Jupyter notebook, Google collab, SQLite, Visual Studio Code, Scrum

Certifications

Stepik – Basic Python course
2022

Coursera – Data analysis course
2022

Stepik – SQL course
2022

Khan academy – linear algebra course
2022

Coursera – Introduction to Data Analytics
2022

Coursera – Python for Data Science, AI & Development
2022

Education

Degree Received
Kyiv polytechnic institute Renewable sources of energy
Department
2016-2022
Languages
English Upper Intermediate, Ukrainian – Native