Христина

KHRYSTYNA DMYTRYSHYN
DATA ANALYST
PROFILE
Data Analyst with strong analytical skills and a focus on delivering
actionable insights from large datasets. Proficient in SQL, Python (NumPy,
Pandas, Matplotlib, Seaborn), and Tableau, with hands-on experience in
data cleaning, systematization, and visualization. Known for accuracy,
attention to detail, and a proactive approach to solving business problems.
Committed to reliability and the timely delivery of high-impact analytical
solutions.

WORK EXPERIENCE
Data Analyst Jan 2025–Jul 2025

Conducted comprehensive sales and market analyses using SQL and

CONTACT Python to identify profitable products, key markets, and user segments.
Managed end-to-end A/B testing, delivering actionable insights for
[открыть контакты](см. выше в блоке «контактная информация») strategic decision-making.
Designed and implemented interactive dashboards in Tableau, Looker
[открыть контакты](см. выше в блоке «контактная информация»)
Studio, and Google Sheets for visualizing critical business metrics.
Optimized sales strategies globally by leveraging data cleaning and
@KhrystynaDM
pattern recognition on large datasets.
Linkedin Provided data-driven recommendations for product portfolio expansion
and refined marketing strategies.
Lviv, Ukraine, remote
PORTFOLIO
Project 1 (SQL Projects) – analysis of account creation dynamics, user activity
by emails, evaluation of behavior in categories, comparison of activity between
SKILLS countries, identification of key markets, segmentation of users by various
parameters.
Spreadsheets: Pivot Tables, Data
Project 2 (Tableau Projects)
Cleaning, Visualization
Email metrycs – analysis of the effectiveness of mailings
SQL: Advanced Queries, Window
Sales – analysis of the number of orders and company revenue
Functions, Query Optimization, Common
Table Expressions (CTE) Session_Analistic – analysis of the number of sessions by browsers,

Python: Pandas, NumPy, Matplotlib, channels, countries, devices, language, and operating system

Seaborn, Exploratory Data Analysis Project 3 (Python Projects)
(EDA) Python Projects - analysis of online store customer behavior based
Tableau: Interactive Dashboards, Data on intelligence analysis
Storytelling, Publishing Project 4
Statistics: Sampling, Hypothesis SQL, Python, Tableau - analysis of online store sales using three

Testing, Correlation, Statistical tools: SQL, Python and Tableau.

Significance
PREVIOUS EXPERIENCE
A/B Testing: Planning, Analysis,
Land Surveying and Land Management Engineer
Reporting
Other Tools: Jupyter Notebooks, Google Technologies or Tools:
Analytics, Excel, Git Cadastral and land management programs: Digitals, Geoline, Automated
System of the State Land Cadastral.
Comprehensive land management: Responsible for the full cycle of work,
EDUCATION including the formation, registration, accounting, and monitoring of land
plots.
Lviv Polytechnic National I have experience in developing more than 10,000 technical
University documentation and land management projects.
Master's Degree in "Accounting and Auditing" Entered and verified information in the State Land Cadastral, ensuring data
2007 - 2012 accuracy.
Data Analyst Conducted a land inventory, which allowed identifying 84 unaccounted
plots and increasing budget revenues.
Course at Mate Academy
I am confident in using Microsoft Office Suite (Word, Excel, PowerPoint) to
2024 - 2025
prepare reports and presentations.