Богдан

Bogdan Koval Kyiv, Ukraine | Open to Relocation & Remote Work [відкрити контакти](див. вище в блоці «контактна інформація») | +380 XX
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Career Objective Aspiring Data Analyst with a strong foundation in Python, SQL, and data visualization.
Currently transitioning from a technical support/operator background into the data field. Actively
studying Data Analytics and Mathematics for Machine Learning. Seeking a Trainee or Junior Data
Analyst position to apply my analytical mindset and grow within a dynamic, data-driven environment.

Skills & Tools Languages & Tools: - Python (pandas, numpy, matplotlib, seaborn, scikit-learn) - SQL (basic
to intermediate queries, joins, aggregations) - Excel/Google Sheets (VLOOKUP, Pivot Tables, basic
dashboards) - Power BI (beginner) - Jupyter Notebook - Git/GitHub - Basic statistics & data wrangling

Soft Skills: - Fast learner with strong self-discipline - Analytical and detail-oriented - Problem-solving
mindset - Adaptable and goal-oriented - Good communicator, teamwork experience

Education & Self-Education Ongoing: - Self-paced learning: Python for Data Analysis, Mathematics for
ML, SQL for Data Analytics - Courses: - "Data Analyst Career Track" – Mate Academy / DataCamp /
Coursera (planned or in progress) - Brilliant.org – Logic, Probability & Stats (Completed core modules)

Previous Background: - Customer support training (Kyivstar) - IT fundamentals: system administration,
remote access, basic networking (MikroTik, Windows)

Projects 1. Sales Dashboard (Google Sheets + Python) - Cleaned and analyzed sales data - Visualized
KPIs and trends - Built simple dashboard for monthly insights

1. Customer Support Analytics (Simulated Dataset)
2. Analyzed mock support logs: resolution time, issue type, satisfaction score
3. Wrote SQL queries to extract patterns

4. Used matplotlib/seaborn for trend visualization

5. COVID-19 Global Analysis (Jupyter Notebook)

6. Fetched and cleaned global data
7. Compared infection/mortality rates across countries
8. Used Python libraries for analysis and plotting

Achievements & Motivation - Learned Python independently and built projects from scratch - Practiced
analytical thinking during operator role (problem-solving under pressure) - Driven by a clear goal: build
a career in data and eventually transition into Machine Learning

Languages - Ukrainian (Native) - English (Intermediate/Upper-Intermediate, improving) - Russian
(Fluent)

Additional Info - Open to internships, trainee, or junior positions (remote or relocation) - Willing to take
tests/tasks during the recruitment process - Flexible schedule, available full-time

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