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Yaroslav Pryimak Junior Data Analyst
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Vinnytsia, Ukraine 06.10.2004

https://github.com/didofrip @didofrip

Profile
Passionate and detail-oriented aspiring Data Analyst focused on extracting insights and
solving business problems using SQL, Google Sheets, Excel, Power BI, and Tableau. Currently
pursuing dual degrees in Finance and Cybersecurity, I combine a strong understanding of
business processes with a rigorous, technical approach to data. Through my university
coursework, I am actively building hands-on experience in database management and
analytical problem-solving. Highly motivated to expand my toolkit by learning Python, I am
constantly improving my expertise in data cleaning, modeling, and visualization to build
reliable data pipelines and deliver actionable solutions.

Education
2022 – present Accounting and Finance Faculty, Specialty 072 “Finance,
Vinnytsia, Ukraine Banking, and Insurance”
Vinnytsia Trade and Economic Institute of the National Trade
and Economic University⁠
Baccalaureate (4th year)

2023 – present Faculty of Computer Science, Specialty 125 “Cybersecurity”
Kharkiv, Ukraine V. N. Karazin Kharkiv National University⁠
Baccalaureate (3rd year), Distance learning

Work Experience
Raiffeisen Bank
Customer Support Specialist | 02.2025 - 09.2025
Provided effective customer support via chat, resolving customer inquiries and ensuring
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high quality service.

Skills
Data Skills: ETL, Data Modeling, Data Cleaning, Exploratory Data Analysis (EDA), Statistical
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Analysis.
Databases & Languages: SQL (MySQL, SQL Server) - DDL/​DML, JOINs, Views, Aggregations,
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Data Cleaning; Python (Pandas, NumPy, Matplotlib, Seaborn, Glob) - Actively learning and
applying in projects.
Data Visualization: Power BI, Tableau.
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Tools: Google Sheets/​MS Excel (Power Query, Power Pivot, Solver, Scenario Manager, Advanced
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Formulas), Jupyter Notebook, Git/​GitHub.
Languages: English (Intermediate/​Upper-Intermediate), Ukrainian (Native).
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Portefolio projects
E-commerce Sales Analysis⁠ | Python (Pandas, Matplotlib, Seaborn)
•Analyzed large datasets of electronics sales to identify purchasing trends and optimize
marketing strategies.
•Aggregated data from multiple sources to determine optimal advertising times and identify
successful product bundles for cross-selling.

Advanced Excel Portfolio (4 Modules)⁠ | MS Excel
Supply Chain Optimization: Minimized logistics costs under constraints using Solver and Linear
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Programming.
Call Center Dashboard: Tracked agent KPIs using an interactive dashboard with Sunburst Charts
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and Slicers.
Retail Sales Analysis: Conducted Exploratory Data Analysis (EDA) to identify top-selling
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categories via Pivot Tables.
HR Payroll Analysis: Automated data cleaning and mapping workflows using complex formulas
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(XLOOKUP, Nested IFs).

Olist E-commerce Data Modeling⁠ | SQL, Power BI
•Transformed fragmented datasets into an optimized Star Schema and utilized Power Query (Left
Anti-Joins) for text mining of customer reviews.
•Built an advanced interactive dashboard with dynamic metric switching and AI-driven visuals to
analyze revenue, logistics, and user satisfaction.

Airbnb Real Estate Investment Analysis⁠ | SQL, Tableau⁠
•Engineered an end-to-end ETL pipeline to clean and backfill 35M+ rows of data, generating
optimized TSV files for faster rendering.
•Designed an interactive Choropleth map dashboard to deliver strategic business
recommendations on high-ROI locations, sizing, and rental models.

CRM Data Cleaning & Quality Assurance⁠ | SQL Server
Standardized a raw CRM database to ensure high Data Quality before further analysis.
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Utilized advanced SQL queries (DDL, DML) to handle NULL values, format dates, and remove
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duplicates.