Катерина

PALAMARCHUK KATERYNA
SUMMARY
Junior Data Analyst with hands-on experience gained through a data analytics course. Skilled
in Python (Pandas, NumPy), Excel, and working knowledge of SQL, with a focus on data
cleaning, exploratory data analysis , and data visualization.
Completed multiple training projects using real-world datasets to identify patterns, trends, and
key insights. Currently expanding knowledge in A/B testing and statistical analysis.
Motivated to start a career in data analytics, continuously develop skills, and contribute to
data-driven decision-making.

PROJECTS
Stack Overflow Survey Analysis
[открыть контакты](см. выше в блоке «контактная информация») Tools: Python, Pandas, Jupyter Notebook
[открыть контакты](см. выше в блоке «контактная информация») Description: Analysis of the annual Stack Overflow developer survey dataset to
[открыть контакты](см. выше в блоке «контактная информация») investigate sample structure, work experience, employment types, and income levels.
PalamarchukKateryna Tasks: Loading and exploring large datasets.
https://wa.me/380930315428 Calculating measures of central tendency for work experience.
Vinnytsia, Ukraine Analyzing survey completion rates and employment types.
Conducting geographical analysis of compensation for Python developers.
Result:Determined the exact number of respondents working remotely.
Generated analytical tables with financial indicators by country.
Identified the education levels of the top-earning specialists.
HARD SKILLS
SQL Cohort Analysis & Retention in SaaS
Python Tools: SQL, Google Sheets
A/B testing Description: Analyzing user behavior and calculating customer retention by building cohort
Data Visualization tables and dashboards.
Data cleaning & validation
ARPU, LTV, CR, Retention Rate, Tasks:Writing complex SQL queries using JOINs and CTEs to extract and aggregate user
Churn Rate and event data.
Data Storytelling Building cohort tables and interactive dashboards in Google Sheets using pivot tables and
Statistics slicers.
Calculating Retention Rate and comparing audience segments (promo vs. organic).
Result:Identified customer retention patterns across different acquisition channels.
Delivered data-driven recommendations for retention marketing strategies.
TOOLS
Google Analytics
Power bi
Pandas WORK EXPERIENCE
NumPy
Jupyter Notebook TENTEQGmbH senior 3d artist
BigQuery 02/2019-now
NunPy Managed the end-to-end processing of raw scans for the 3D artist team, significantly increasing
Google Sheets
collaborative workflow efficiency across projects.
Excel
Tableau
Looker Studio 3D GENERATION UA LLC middle 3d artist
05/2018-02/2019
Managed the Quality Assurance (QA) process by reviewing team members' work for technical
compliance, which minimized revisions and ensured the integrity of the final product
LANGUAGES
Ukrainian-native
English - intermediate
3D GENERATION UA LLC junior 3d artist
05/2017-05/2018
Modeled and prepared digital files for 3D printing. Checked and fixed 3D meshes for errors while
following strict technical and dimensional specifications to ensure the high accuracy of final assets.

EDUCATION
12/2025-06/2026
IT School GoIT-Data Analyst
2025
Human Anatomy for Artists using Zbush and Photoshop-UDEMY
2005-2014
Vinnitsa Institute of Trade and Economics of Kyiv National University
of Trade and Economics "Business Economics" - Master of Business
Economics
2010-2014
Technological and Industrial College of the Vinnytsia National
Agrarian University for the specialty "Law" - lawyer