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Дарина

Аналітик

Considering positions:
Аналітик, Data analyst
Age:
21 years
City of residence:
Lviv
Ready to work:
Kyiv, Lviv, Remote

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Daryna Mishyna
DATA ANALYST

Summary
[open contact info](look above in the "contact info" section)
Data Analyst with expertise in collecting, cleaning, and analyzing customer
behavior and sales data. Used advanced SQL and Google Sheets, Python, [open contact info](look above in the "contact info" section)
and Tableau to identify trends, generate actionable insights and deliver
Lutsk, Ukraine / remote / relocate
data-driven solutions. Background in teaching enhances data storytelling
and presentation skills. Also, I have Upper-Intermediate level of English Telegram
and can work autonomously in case of blackout.
LinkedIn

Skills Education:
Spreadsheets: Pivot Tables, Data Cleaning, Visualization
LVIV POLYTECHNIC NATIONAL
SQL: Advanced Queries, Window Functions, Query Optimization, UNIVERSITY
Bachelor's Degree in Software
Common Table Expressions (CTE)
Engineering, 2022 – 2026
Python: Pandas, NumPy, Matplotlib, Seaborn, Exploratory Data
Analysis (EDA)
Tableau: Interactive Dashboards, Data Storytelling, Publishing Additional
Statistics: Sampling, Hypothesis Testing, Correlation, Statistical education:
Significance Data Analyst course at
Mate Academy
A/B Testing: Planning, Analysis, Reporting
Azure Fundamentals
Other Tools: Jupyter Notebooks, Google Analytics, Excel, Git, Jira, The Complete SQL
Trello, Notion Masterclass (Udemy)

Development Methodologies: SDLC, Waterfall, Agile concepts
(Scrum, Kanban) Achievements:
Languages: English (Upper-Intermediate)
National Multi-subject Test: 200/200 (2022)

Experience
DATA ANALYST, FEB 2026 – NOW
Technologies and Tools:
Cleaned and preprocessed datasets using Python, handling
missing values and outliers
Performed exploratory data analysis to identify trends and
patterns
Built interactive dashboards in Tableau to visualize key business
metrics
Analyzed customer behavior/sales data
Generated insights that supported decision-making
Wrote SQL queries to extract and analyze data
MATH TUTOR (BUKI SCHOOL), SEP 2024 – JAN 2026
Technologies and Tools:
Taught mathematics to students (grades 9–11), simplifying
complex concepts
Developed structured learning materials using Canva
Strengthened communication and problem-solving skills

Portfolio:
SQL & Data Analytics Project
Sales and customer behavior analysis using SQL, Python,
Pandas, Matplotlib, Seaborn. The project included
exploratory data analysis, statistical analysis, visualization
of sales trends, traffic channels, customer behavior, and
analysis of relationships between different business
metrics.
Link to review

A/B Testing: Python + Tableau
Built a reusable Python class for A/B test analysis
supporting Z-tests, multi-group comparisons, and dynamic
user segmentation. Results were exported and visualized
in an interactive Tableau dashboard with statistical
significance metrics and segment filters. The tool reduces
manual experiment analysis time and improves result
interpretability.
Link to review

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