Каріна

KRUT KARINA

Motivated and detail oriented Junior Data Analyst with basic experience
in data analysis, visualization and statistical methods. I have skills in
working with PostgreSQL, Python, BI tools for data visualization, such
as Tableao, BigQuery for analyzing large volumes of data and creating
informative reports, Looker Studio, Excel. I have a solid theoretical base
in data processing and their interpretation. I focus on improving
business processes through data analysis. Ready to learn and develop
in a dynamic team, implementing innovative solutions.
Project Experience

"Revenue metrics" Analytical dashboard for evaluating the
effectiveness of advertising campaigns
The goal of the "Revenue metrics" project is to develop and implement an
[открыть контакты](см. выше в блоке «контактная информация») interactive dashboard in Tableau Public for analyzing cash flows.
During the implementation of this project, I built a tool that will help businesses
[открыть контакты](см. выше в блоке «контактная информация»)
effectively monitor and analyze important metrics, the dynamics of financial
Linkedin indicators and identify key factors of revenue changes, which will allow you to
optimize work and increase profitability.
Telegram Main functionality:
Visualization of 10+ key metrics, including Monthly Recurring Revenue (MRR),
Dnipro city, Ukraine
New MRR, Paid Users, ARPPU, Churn Rate, Expansion MRR, etc.
Filters by date, language, and user age for flexible analysis.
HARD SKILLS The project demonstrates my skills in:
SQL and working with databases, Data analysis, Data visualization in Tableau
SQL/PostgreSQL Project report in Google Looker Studio with visualization of
Python the obtained data results.
Tableau/Data Visualisation In Google Looker Studio, I developed an interactive
Advertasing companies analysis dashboard with graphs, a pivot table with calculated indicators
A/B tests with a heat map, and added two filters by date and name
of the advertising company. This report is aimed at assessing the
TOOLS
effectiveness of advertising campaigns in digital channels. It is built on
SQL data from a PostgreSQL database containing information on advertising
impressions, costs, clicks, and other marketing indicators. Provide the
Python
marketing team with a convenient tool for tracking the dynamics of
Tableau
advertising costs and campaign performance over time.
Google BigQuery Google Identify the most effective campaigns by key metrics: ROMI, CPC, CPM,
Sheets/Exel CTR.
Provide the ability to flexibly filter data for deeper analysis.
SOFT SKILLS
Work experience
Communication Skills
Personal small business In the field of beauty and health
Self-Motivation
services
Critical Thinking
2018-now Organized my own activities from scratch. Mastered a targeted form
Team Collaboration of advertising for my own business. Practiced methods of attracting traffic to
my social media business page.
LANGUAGES
State law enforcement agencies
English -Intermediate 2010-2016
Database administrator and operator
Ukrainian - native
Russian - native Education
IT school "GoIT" Classical private university Zaporizhia
Data Analysis | 2025 Bachelor's degree "Law" | 2021