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Vladyslav Tsymbal
DATA ANALYST JUNIOR

Recent Data Analyst graduate with knowledge of SQL, Python, and
statistical analysis. Experienced in data cleansing, manipulation and
visualization, with a strong interest in using data-driven insights to solve
business problems. I am eager to share his analytical skills and passion for
data with a dynamic team, while continuing to learn and grow in the field of
data analytics.

CONTACTS PROJECT EXPERIENCE
[open contact info](look above in the "contact info" section) SQL DBeaver Projects
In this project, I analyzed marketing data using relational databases and
[open contact info](look above in the "contact info" section) SQL in DBeaver. I constructed virtual tables and employed advanced
SQL functionalities such as UNION, JOIN, COALESCE, CASE,
Telegram TIMESTAMP, and CTEs. I effectively aggregated data with GROUP BY
and used aggregate functions like SUM, AVG, COUNT, MIN, and MAX.
LinkedIn Additionally, I applied window functions like LAG, and utilized
subqueries for sophisticated filtering. I also developed foundational skills
Cherkasy, Ukraine
in Google Analytics and BigQuery to enhance my data visualization and
analysis capabilities.
HARD SKILLS User Conversion Analysis
SQL I extracted and analyzed user data to measure key metrics: total
Python registered users, trial users, and paying users. I created time-series
Statistical Analysis graphs to visualize monthly sign-ups and conversion rates, and
Data Visualization developed a funnel chart to illustrate user progression with absolute
A/B Tests numbers and conversion rates. My analysis provided insights to
Product Analysis increase user engagement and optimize conversion strategies, using
Data Manipulation Python and Tableau for data analysis and visualization.

TOOLS WORK EXPERIENCE
PrJSC MHP
Google Sheets November 2023-July 2024
Power BI Security Department
Amplitude Lead Video Surveillance Specialist
Google Analytics
Key Responsibilities:
Tableau
Monitored and analyzed video data for premises security.
Used advanced analytical tools to process large data volumes.
SOFT SKILLS Detected anomalies and potential threats.
Achievements:
Cooperation Optimized surveillance processes for improved accuracy and speed.
Self discipline
Enhanced overall organizational security through attention to detail
Desire to learn
Critical thinking and expertise with large datasets.
Kindness
EDUCATION
IT School “GoIT”
LANGUAGES
Data analysis 2024
English - intermediate Cherkassy National University of Bohdan Khmelnytsky
Ukraine - native International relations,social comunication and regional studies
Russian- fluent 2018-2022