Роман

Roman Yefremov
Data Analyst

Location: Kyiv, Ukraine
Phone: [открыть контакты](см. выше в блоке «контактная информация»)
E-mail: [открыть контакты](см. выше в блоке «контактная информация»)
GitHub: https://github.com/IefremovRoman
LinkedIn: [открыть контакты](см. выше в блоке «контактная информация»)
Telegram: @efremovroman

Curious Junior Data Analyst with experience in anomaly detection and web data collection
using Scrapy. Skilled in SQL, Tableau, Python, and Excel. Eager to grow in FinTech and
Data Science and contribute to data-driven projects.

Skills

Hard skills: Python, SQL, Advertising companies analysis, Gathering of the
Requirements, Theory of Probability and Mathematics, A/B Testing, Product Analysis.
Tools: Tableau, Google Looker Studio, Pandas, Matplotlib, Git.
Soft-skills: communication, problem-solving, teamwork, independent work.
Languages: English – Intermediate, French – Pre-Intermediate, Ukrainian - native.

Project experience

Title: Revenue and Cohort Analysis Dashboard.
Tools: Tableau, SQL.
Description: Developed dashboards to analyze revenue trends, user monetization, and
cohort retention.
My tasks: Built key metrics and visualizations by product, location, and month;
implemented cohort analysis with gradient highlighting.
Result: Enabled clear tracking of revenue growth and user retention, improving business
insights and reporting efficiency [1], [2], [3].

Work experience

Data engineer at ScrumLaunch: January to February, 2022 (2 months):
• Data QA at retailers` data analysis project (tech stack: Databricks, Spark).
• Anomaly detection algorithms implementation reduced retailers overstock and
losses.
Parsing engineer at StartUs: July, 2022 (1 month)
Implementation of automation data collection with using Scrapy.
Mentor at Logos Kids Academy: January, 2022 (1 month)
Teaching pupils a programming language (Python) and computer science basics.

Education

IT School “GoIT” June to November, 2025: Specialty “Data Analyst”
IT School “Hillel” June to November, 2021: Specialty “Web development with Python
(Django)”
IT School “Hillel” October to January, 2019: Specialty “Data Science”
Donetsk National Technical University (DonNTU) 2007-2012:
Specialty “Electrical drives and industrial automation”, master degree.