Віолетта

Rebrova Violetta
[відкрити контакти](див. вище в блоці «контактна інформація»)
Telegram [відкрити контакти](див. вище в блоці «контактна інформація») Kyiv, Ukraine, remote, relocate
LinkedIn

EDUCATION PROFILE
Dedicated Data Analyst focused on uncovering insights for
Information Systems data-driven business decisions. Currently studying Information
and Technologies Systems and Technologies at KPI, combining academic
National Technical knowledge with practical experience in Data Analytics. Skilled in
University of Ukraine
“Igor SQL, data optimization, and creating interactive dashboards in
Sikorsky Kyiv Tableau. Experienced in Python for statistical analysis and
Polytechnic hypothesis testing. Possess an Intermediate (B1) level of English,
Institute” strong analytical thinking, and the ability to identify patterns in
(2023 - 2027) complex datasets to support business goals.

SKILLS EXPERIENCE

Spreadsheets: Pivot Tables, Data Analyst, From Feb 2026
Data Cleaning, Visualization Performed sales and business performance analysis using
SQL: Advanced Queries,
Advanced SQL and Python (Pandas, NumPy). Applied ABC/Pareto
Window Functions, Query
Optimization, Common Table analysis to identify revenue drivers and improve product
Expressions (CTE) segmentation. Built interactive Tableau dashboards to visualize
Python: Pandas, NumPy, customer behavior and sales trends, turning complex data into
Matplotlib, Seaborn, Exploratory
actionable insights. Focused on data integrity and accurate metric
Data Analysis (EDA)
Tableau: Interactive calculations to support data-driven decision-making.
Dashboards, Data Storytelling,
Portfolio:
Publishing
Statistics: Sampling, Hypothesis Project 1 (A/B -test) – This project focuses on automating the
Testing, Correlation, Statistical statistical validation of multi-variant A/B tests across various
Significance conversion funnels. In digital products, making launch decisions
A/B Testing: Planning, Analysis, based on raw conversion increases can lead to false positives due
Reporting to traffic variance. This tool ensures that any detected uplift is
Other Tools: Jupyter Notebooks, backed by mathematical significance.
Google Analytics, Excel, Git Link to review A/B test

Project 2 (Sales Analytics )
Extracted and transformed data from Google BigQuery, performed
exploratory and statistical analysis in Python, and built an interactive
Tableau dashboard covering sales trends, geography, traffic
channels, and user behavior.
Link to review Sales Analytics

LANGUAGE ADDITIONAL EDUCATION:
English: (Intermediate ) Data Analyst course at Mate academy
German (Pre-Intermediate), Analytics Intensive at Skelar
Polish(Pre-Intermediate) Business Analyst at Genius.Space