Oleksii

Oleksii Revchuk, Python Developer
Kyiv, Ukraine, [відкрити контакти](див. вище в блоці «контактна інформація»), [відкрити контакти](див. вище в блоці «контактна інформація»)

PROFILE
To gain more experience, I have worked on two Projects of my own, which were written
in Python, with modules like: Django, Flask, Sklearn, Pandas, and several smaller
libraries. During development of the Projects, I experienced working with
documentation and building several back-end oriented features. However, right now I
am looking for more experience in team projects and always open for new challenges!

OWN PROJECTS
Jan 2023 — Feb 2023 WoW-app
• My first project with Python. The idea was to create a tool that could help with
managing items inside the guild in the World of Warcraft video game. The technical aim
of this project was to build a reliable API with a database of different preferences.
• In the process of working on a project, I sealed my foundation in Pandas and learnt
basic Flask. To implement less data usage and faster speed of reading the database, in the
later stages of the project, Parquet data format was used.
• Skills: Postman · Database Design · Application Programming Interfaces (API) · Pandas
(Software) · Flask
• GitHub repository link: https://github.com/GawarWawar/wow-app
May 2023 — Nov 2023 Karting-App
• After the start of the courses of Machine Learning, I got the idea of creating an analyzer
for the go-kart competition that could predict the lap-time that go-karts could show
during the competition. This prediction is done with several Machine Learning
algorithms, which are evaluated by score and shown with their predictions, so the person
using it could know how accurate predictions are. Project uses Django as a web
framework to display all produced info. If we are diving deeper, the project is divided in
two parts: Recorder and Analyzer.
• Recorder works during races and makes records of each lap, therefore consumes a lot of
time and needs to be done asynchronously. To achieve this goal, an instance of the Celery
framework was used. Recorder also uses Requests and Pandas to process data, and
Django Database to store it.
• Analyzer is a much quicker process and doesn't require async. To form data Pandas was
used, Sklearn was used to transform and analyze it. After this, Analyzer passes it to
Django, and it displays it to the user using Html and CSS.
• Skills: Django · Request Management · Pandas (Software) · Machine Learning
• GitHub repository link: https://github.com/GawarWawar/karting_app
SKILLS
Python, Django, Database Design, Git, Flask, Pandas

COURSES
Mar 2023 — Jan 2024
Machine Learning A-Z: AI, Python & R + ChatGPT Bonus [2023], Udemy

EMPLOYMENT HISTORY
Oct 2021 — Dec 2021 Сustomer service manager, Infocus
This work taught me to manage different tasks in the same time and manage stressful
situations with customers to provide high quality customer support

EDUCATION
Sep 2018 — Jun 2022
Bachelor's degree in Psychology, Kyiv National Economic University

LANGUAGES
English: B2-C1; Ukrainian: Native speaker