Олексій
Data analyst
- Вік:
- 30 років
- Місто:
- Одеса
Контактна інформація
Шукач вказав телефон , ел. пошту та LinkedIn.
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/10415308
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Data analyst
[
Odesa, Ukraine LinkedIn
GitHub @Familenko
PROFILE
Proficient in Python for data analysis, leveraging libraries like NumPy, Pandas, Matplotlib and Seaborn
to derive insights from diverse datasets.
Additionally, I bring hands-on experience with Excel and possess web scraping skills using
BeautifulSoup4, Selenium, and Scrapy. My ability to make sense of data and draw meaningful
conclusions makes me a valuable asset, despite my modest yet impactful experience.
My unique background as a seafarer not only attests to exceptional English language proficiency but
also reflects extensive experience collaborating with diverse cultures. Having served as a team leader, I
excel in fostering teamwork and boast strong organizational skills. My technical maritime education
equips me to swiftly grasp intricate technical literature.
Feel free to explore the outcomes of my professional skills assessment (Python) during a special event
hosted by Mate Academy, where I participated with the involvement of an interviewer from N-iX.
Link on YouTube
PROFESSIONAL EXPERIENCE
Self-employed 2023
Data analyst
Clusterization Helper Class
Designed to support clustering tasks, this helper class provides a streamlined interface for checking
and implementing cluster algorithms, contributing to efficient data organization and analysis.
Technologies:
Sklearn, Matplotlib, Seaborn, Numpy
Djinni analytics
This project focuses on conducting an in-depth analysis of Python Developer job vacancies within the
IT sector, sourced from Djinni.
Technologies:
Pandas, Matplotlib, Seaborn, Numpy, Selenium
Automated Document Rotation
Focused on streamlining document rotation to portrait orientation through machine learning. The
resulting model facilitates the automatic alignment of text documents and images, enhancing their
suitability for subsequent analysis or processing.
Features:
Utilized TensorFlow for machine learning model development.
Implemented Argparse for Command Line Interface (CLI)
Technologies:
TensorFlow, Pillow, Argparse, os, Bayesian Optimization
YIALOS MANNING SERVICES INC 2020 – 2022
Marine Third engineer
Developed and implemented Excel formulas with precision, taking into account the specifics
•
outlined in legal documentation.
Applied mathematical principles to automate fuel calculations.
•
Led prompt and successful overhaul, completing it two days ahead of schedule.
•
Excelled under pressure, delivering exceptional results despite tight deadlines and lack of prior
•
experience in challenging situations.
EDUCATION
Odessa Maritime College of Technical Fleet 2009 – 2013 | Odesa, Ukraine
Exploitation of ship energy-efficient plant, Specialist
degree
SKILLS
Pandas Python Matplotlib Seaborn Selenium Request Scrapy BeautifulSoup
Excel ETL Parsing Sklearn Tensorflow English
CERTIFICATES
DeepLearning.AI TensorFlow Developer Tensorflow Developer Udemy
Machine Learning Engineer Complete Excel Bootcamp
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