Ihor

Ihor Prachuk
Data Analyst
Summary
Data Analyst skilled in SQL, Python, BigQuery, Tableau, and statistical analysis with
hands-on experience delivering end-to-end analytics projects. Holds a Bachelor's
degree in Software Engineering and maintains a portfolio of analytical projects on
GitHub. Strong analytical thinking, attention to detail, and problem-solving skills.
Seeking to grow as a Data Analyst while helping businesses make data-driven
decisions.

Work Experience
Contacts Data Analyst Portfolio Projects
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September 2025 - June 2026 | Ukraine
[открыть контакты](см. выше в блоке «контактная информация»)

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Delivered end-to-end analytics projects using SQL, Python, BigQuery, Tableau,
Telegram

statistical analysis, and A/B testing.

LinkedIn

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Cleaned, transformed, and analyzed large datasets to identify trends and business
GitHub

insights.

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Developed interactive dashboards and KPI reports for sales, customer behavior,
Tech Skills and marketing performance.

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Spreadsheets: Pivot Tables, Data Cleaning, •

Performed exploratory data analysis (EDA) and communicated findings through
Visualization
data visualizations.

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SQL: Advanced Queries, Window Functions, •

Applied SQL and Python to automate data processing and support business
Query Optimization, Common Table decision-making.

Expressions (CTE)
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Analyzed user behavior patterns and product usage trends to support feature-level
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Python: Pandas, NumPy, Matplotlib, Seaborn, decision-making.

Exploratory Data Analysis (EDA)

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Tableau: Interactive Dashboards, Data Projects
Storytelling, Publishing
Business Analytics Project

1.

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Power BI/Looker Studio: Basic Dashboard
[ SQL • BigQuery ]

Creation, Data Connections, Visualizations
Description: Developed SQL queries to integrate multiple business datasets and
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Statistics: Sampling, Hypothesis Testing,
analyze revenue, customer activity, account verification, and regional
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Correlation, Statistical Significance

performance. Built analytical reports and calculated key business metrics to
A/B Testing: Planning, Analysis, Reporting
support decision-making.

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Other Tools: Jupyter Notebooks, Google
Analytics, Excel, Git, Trello, AI tools, AI agents
Marketing & Products Dashboard

2.

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Knowledge of SDLC: Waterfall, Agile concepts
[Tableau]

(Scrum, Kanban)
Description: Created interactive Tableau dashboards to analyze marketing
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Languages: English (Intermediate B1)
channels, customer traffic, device usage, revenue distribution, and product
performance. Designed KPI visualizations that enabled stakeholders to evaluate
Education campaign effectiveness and business trends.

National University “Kyiv Aviation Institute”
Software Engineering 3. Sales Performance & Customer Analytics

September 2022 - June 2026 | Ukraine
[Python • Jupyter Notebook]

Description: Performed exploratory data analysis on transaction, product, and
Bachelor’s Degree geographic datasets. Cleaned and transformed data, analyzed customer
ADDITIONAL Education purchasing behavior, logistics efficiency, sales performance, and regional trends,
providing actionable business insights through data visualizations.

Data Analyst course at Mate academy
2025 - 2026 | Ukraine