Юлія

Yulia Tertychna
Junior Data Analyst
tel: [open contact info](look above in the "contact info" section) e-mail: [open contact info](look above in the "contact info" section) Kyiv, Ukraine

Linkedln: [open contact info](look above in the "contact info" section) Telegram: https://t.me/yulia_tertychna

SUMMARY
Junior Data Analyst with a strong foundation in data analysis, statistics, and A/B testing. Experienced in
working with datasets to clean, analyze, and visualize data in order to uncover insights and support
data-driven decisions. Skilled in SQL, Python, Excel, and basic data visualization. Looking for an opportunity to
develop my skills in a collaborative, data-driven environment and contribute meaningful insights to the team

HARD SKILLS: SQL, Python, A/B Tests, Business metrics (conversion, ARPU, LTV, retention, churn), Data
Visualization, Data Cleaning & Validation, Statistics, Data Storytelling
TOOLS: Tableau, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, BigQuery, Google Sheets, Excel.
SOFT SKILLS: Accurate, Committed, Determined, Meticulous, Team player, Empathy, Task prioritising, Self
motivation, Punctuality, Self discipline, Desire to learn, Critical thinking

PROJECT EXPERIENCE
Analysis of the streaming platform
Tools: SQL, Google Sheets
Description: preparing data for analysis and conducting primary research, obtaining key business metrics
using SQL, visualizing the results obtained, summarizing the analysis results and providing substantiated
conclusions
My tasks: Data processing and visualization
User behavior analysis
Providing recommendations for improving streaming platform performance
Result: Calculated key economic indicators
Provided key recommendations for improving the streaming platform
A/B testing
A/B test results
Tools: Google Sheets, Google Documents, A/B test calculator
Description: formulating the hypothesis that I am testing in this test, describing the users who are included
in the test, choosing the target and auxiliary metrics, calculating the sample size and the number of days the
test should be run, making conclusions about the test results
My tasks: Choosing a statistical criterion for hypothesis testing
Building a visualization to compare means across groups with 95% confidence intervals
Providing recommendations according to the test results
Result: Сonfirmed hypothesis
Provided key recommendations according to the test results
WORK EXPERIENCE
Bank “Nadra”
Credit Specialist
2008-2009 : attracting new clients; consulting on credit products; processing the necessary documents for
issuing a loan
Achievements: knowledge of bank credit products and document processing process
EDUCATION
IT School GoIT Zhytomyr State Technological University
Data Analysis Master's Degree, Finance 2003-2008
2026
LANGUAGES
English - Intermediate
Ukrainian - Native