Єлизавета

YELYZAVETA YANCHUK
Data Anal yst

CONTACTS PROFILE SUMMARY
Committed to utilizing data as a tool for problem-solving with a robust
[відкрити контакти](див. вище в блоці «контактна інформація»)
background in statistics and programming, seeking an opportunity to apply
[відкрити контакти](див. вище в блоці «контактна інформація») skills in data analytics and vizualization. Adept at data collection, cleaning,
Lviv, Ukraine transforming complex datasets into actionable insights to drive business
decisions. Skilled in creating interactive dashboards, performing statistical
LinkedIn
analyses, and visualizing data patterns effectively. Passionate about
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applying data to enhance decision-making processes and drive business
growth.
HARD SKILLS
Python & R PROJECT EXPERIENCE
SQL Google Analytics 4 BigQuery Project
A/B Tests As a data analyst, I implemented a data analysis project in the BigQuery
environment, using data from Google Analytics 4. This project includes SQL
Product & Web Analytics
queries designed to generate tables for various analytical purposes. The
Theory of Probability and generated tables encompass user-related event data, including event date,
Mathematical Statistics user ID, event ID, user country, URL parameters, and other pertinent
Statistical Methods (F-tests, ANOVA, metrics. The project also computes the conversion rate at various stages of
the user journey, ranging from the initiation of a session to critical actions
ARIMA, Regression Analysis)
such as adding a product to the cart, attempting to place an order, or
finalizing a purchase.
TOOLS Revenue Analysis Dashboard Project
As a data analyst, I implemented a data analysis project to visually showcase
Google Sheets Looker Studio
the collected SaaS analytics data, evaluating essential metrics such as
Excel BigQuery ARPPU, MRR, and total revenue categorized by region and over time as
Tableau Google Analytics well. This project employs segmentation techniques to uncover patterns in
Power BI Access user behaviour across regions. This project aims to deliver a transparent and
informative depiction of revenue trends and user behavior, thereby
Amplitude Jupiter Notebook
supporting data-driven decision-making and strategic business planning.
Time Series R Project
SOFT SKILLS As a data analyst, I created a data analysis project in the R language to
analyze time series data, specifically changes in stock indices over a period.
Enthusiasm & Desire to Learn More
The series were examined to identify trends and seasonality, during which
Ingenuity some preprocessing techniques such as detrending, decomposition, and
Time management exponential smoothing were applied. Additionally, there have been
conducted autocorrelation and partial autocorrelation analyses in order to
Consciousness & Critical Thinking
build an ARIMA (Autoregressive Integrated Moving Average) model for
Task Prioritising forecasting purpose. The project also includes visualizations such as flow
Teamwork diagrams, lollipop charts, and lag plots to enhance data interpretation.

LANGUAGES EDUCATION
English: Upper-Intermediate IT School "GoIT" Lviv Polytechnic National University
Korean: Intermediate
Data Analysis Department of Applied Linguistics
Japanese: Pre-Intermediate
Ukrainian: Native 2025 2022-2026