Ruslan

KOHUT
RUSLAN SUMMARY
DATA ANALYST Data Analyst with a foundation in SQL, Python, and Tableau,
focused on turning raw data into actionable business insights.
Experienced in data analysis, visualization, and building clear
[открыть контакты](см. выше в блоке «контактная информация») metrics to support data-driven decision-making. Background in
[открыть контакты](см. выше в блоке «контактная информация») Project Management and Sales helps bridge the gap between
TELEGRAM @VARIUOS_ARTIST data, business goals, and stakeholders. Confident working
LINKEDIN with large datasets, writing analytical queries, and presenting
results in a structured and understandable way. Strong
communication skills and a systematic approach gained from
EDUCATION
IT project environments. Highly adaptable and reliable, able to
work continuously even during power outages thanks to a
Kherson maritime college
personal backup power system.
Specialist in Catering Department
Operations
Dates Attended [ e.g. 2002 - 2006] PREVIOUS EXPERIENCE
ADDITIONAL EDUCATION Sales manager Mar 2018 – Sep 2024
Technologies or Tools: Scrum, Kanban, jira and confluence,
trello, crm systems
Data Analyst course at Mate
Identifying and acquiring new clients while maintaining
academy.
and growing relationships with existing ones.
Mastered SQL, Python
Conducting negotiations through both online and
(Pandas/NumPy), and Tableau for
offline channels to drive business results.
end-to-end data analysis
Project manager and business analyst
course
PORTFOLIO
SKILLS
Project 1(SQL project) Analysis of account creation
dynamics and user email activity by country to identify
Spreadsheets: Pivot Tables, Data Cleaning, key metrics
Visualization
SQL: Advanced Queries, Window Functions,
Projectʼs 2(Tableau project)
Query Optimization, Common Table
Dynamic revenue dashboard and registration counts by
Expressions (CTE)
operating system
Python: Pandas, NumPy, Matplotlib, Seaborn,
Netflix dashboard
Exploratory Data Analysis (EDA)
The task is to filter data and identify the most popular
Tableau: Interactive Dashboards, Data
director or movie, with sorting by title for faster
Storytelling, Publishing
browsing by genre, for example.
Statistics: Sampling, Hypothesis Testing,
A/B test_dashboard
Correlation, Statistical Significance
A/B test dashboard with user distribution by device,
A/B Testing: Planning, Analysis, Reporting
Other Tools: Jupyter Notebooks, Google geography, and traffic channels
Analytics, Excel, Git Project 3 (Python project)
Languages: English Intermediate Python Final Project: End-to-end data cleaning and
Tools: Jira, Trello visualization