Олександр

Oleksandr Chalaidiuk
Data Analyst
[open contact info](look above in the "contact info" section) [open contact info](look above in the "contact info" section) Lutsk Linkedin GitHub

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PROFILE

I’m a Data Analyst with a strong foundation in Python and expertise in leveraging data to drive actionable
insights and business growth. My background in process automation and workflow optimization
enhances my ability to analyze complex datasets, streamline operations, and improve performance
metrics. With hands-on experience in CRM tools, data visualization, and client base analysis, I focus on
delivering practical, data-driven solutions that optimize decision-making and enhance operational
efficiency

SKILLS

English: Upper-Intermediate Python 3.10+, Advanced Python (Decorators,
Iterators, Generators), Asynchronous Python
Object-Oriented Programming (OOP), SOLID
(asyncio, Concurrency, Parallelism)
principles, Design patterns
Algorithm complexity, Arrays, Linked Lists,
Web Scraping (BeautifulSoup, Scrapy,
Stacks, Queues, Hash Maps, Hash Sets
Selenium), Data Analysis (Pandas, Matplotlib,
NumPy, Tableau, Power BI, Looker, Excel) Development Tools: Debugging, Docker

Databases: PostgreSQL, SQLite, Redis Version Control & Collaboration: Git/Github

Web Development Frameworks: Django, Django
Rest Framework (DRF)

PROFESSIONAL EXPERIENCE

Self-employed, Data Analyst May 2024 – present
Scrapy data analysis project
This project utilizes Scrapy for web scraping automotive data, enabling the analysis and visualization of
various statistics related to vehicles.
•Designed and implemented a robust data extraction system using Scrapy, enabling efficient web
scraping of car listings from the AutoRia website.
•Employed Python and modularized the project with custom utility functions for parsing car
specifications such as engine type, color, and gearbox, ensuring accurate data extraction.
•Built a flexible and reusable pipeline to preprocess and validate the extracted data, ensuring high-
quality datasets for downstream applications.
•Enhanced user interaction by integrating argparse for dynamic customization of scraping parameters,
improving usability and flexibility.
•Conducted exploratory data analysis on the scraped data to uncover insights and trends in car
listings. Integrated detailed logging throughout the pipeline to track progress and debug issues
efficiently.
•Followed best practices for code quality and style, ensuring scalability and maintainability of the
codebase.
Technologies used: Python, Scrapy, Pandas, Looker
 Library API System team project
Online management system for book borrowings
• Developed a management system for book borrowings utilizing Django and the Django Rest
Framework.
• Employed PostgreSQL as the database solution to securely store user and book information.
• Implemented Celery for scheduling tasks and processing jobs in the background, which improved
overall system performance.
• Integrated Redis as both the message broker and result backend for Celery, ensuring dependable task
execution.
• Containerized the application with Docker for consistent deployment environments.
• Managed multi-container setups using Docker-compose to streamline the deployment process.
• Integrated the Stripe API to facilitate secure online payment transactions within the system.
• Leveraged the Telegram API to enhance user interaction through a Telegram bot, improving user
experience and system efficiency.
Technologies used: Django/Django Rest Framework, PostgreSQL, Celery, Redis, Docker/Docker-
compose, Stripe API.

Junior SEO Specialist "NDA" Jan 2025 – Jun 2025
Responsibilities:
Conducted technical website audits and optimized on-page SEO factors.
•

Performed keyword research to improve website visibility in search engines.
•

Supported the marketing team in implementing SEO strategies.
•

Key Accomplishments:
Improved search rankings for several targeted keywords.
•

Helped improve SEO reporting processes, reducing manual effort and time requirements by 10%.
•

Sales Manager at "AutoStandartGroup" Sep 2022 – May 2024
Responsibilities:
Led the full sales cycle, implementing CRM tools to automate lead tracking and follow-ups.
•

Delivered detailed product insights, fostering stronger customer connections and satisfaction.
•

Key Accomplishments:
Expanded the client base by 30% within a year and implemented an automated reporting system,
•

reducing reporting time by 40% and boosting team efficiency.

CEO Assistant at "Force Arena" Aug 2019 – Aug 2022
Responsibilities:
Managed documentation processes to ensure streamlined operations.
•

Expanded the club's network by securing strategic partnerships and attracting investments.
•

Key Accomplishments:
Increased club revenue by 15% and grew network expansion by 20% through strategic partnerships,
•

investor engagement, and process automation.

EDUCATION

Master’s Degree in Computer Science 2019 – 2020
Lutsk National Technical University

Bachelor’s Degree in Law 2015 – 2019
National University "Odesa Law Academy"