Віталій

VITALII HATALA
Data Analyst / Junior Data Scientist
Location: Freiburg, Germany | Phone: [open contact info](look above in the "contact info" section) | Email: [open contact info](look above in the "contact info" section)
GitHub: github.com/VitaliyHatala
SUMMARY
Data Analyst with expertise in SQL, Python, and data visualization tools (Power BI, Tableau). Skilled in data analysis, predictive modeling, and machine learning to generate actionable insights. Experienced in working with large datasets, developing interactive dashboards, and supporting data-driven decision-making to improve business performance.
EXPERIENCE
• Sales & Financial Data Analyst (Project-based) – Freelance
(June 2024 – Present | Remote)
- Collected, cleaned, and analyzed large datasets to generate business insights.
- Developed interactive dashboards in Power BI to track KPIs.
- Built machine learning models (Logistic Regression, Decision Trees, SVM) to predict customer churn with 91% accuracy.
- Optimized SQL queries for faster data retrieval and reporting.
My Personal Projects
Financial Data Analysis
• Conducted financial analysis of major American banks from ‘Yahoo’ using Python (Pandas, NumPy, Seaborn).
• Designed a Power BI dashboard to visualize stock performance trends.
• Integrated SQL queries to extract and clean data from relational databases.
911 Emergency Calls Data Analysis
• Analyzed 911 call data to identify trends in emergency reasons, call locations, and response times.
• Used Python (Pandas, Matplotlib, Seaborn) to visualize peak hours and the most common emergencies.
• Created an interactive Power BI dashboard for real-time data exploration.
Airbnb Berlin 2024 Data Analysis
• Conducted exploratory data analysis on Berlin Airbnb listings to uncover trends in pricing, location, and host activity.
• Used Python (Pandas, GeoPandas, Matplotlib, Seaborn) to visualize geographical distribution, price variations, and property availability.
• Derived insights into top-performing neighborhoods and property types to assist potential investors or travelers.
TECHNICAL SKILLS
- Programming: Python (Pandas, NumPy, Seaborn, Matplotlib, Scikit-Learn), SQL (MySQL, PostgreSQL)
- Data Visualization: Power BI, Tableau, Matplotlib, Seaborn
- Machine Learning: Logistic Regression, Decision Trees, KNN, SVM, Feature Engineering
- Big Data & Databases: SQL optimization, data preprocessing
- Tools & Technologies: Jupyter Notebook, Excel (Pivot Tables, VLOOKUP)
EDUCATION
Franko National University, Lviv
Bachelor’s Degree in Systems Analysis (2023)
- Focused on mathematical modeling, statistics (probability theory), and object-oriented programming C++.
- Developed and optimized pathfinding algorithms for complex graphs.
CERTIFICATIONS & COURSES
- SQL for Data Analysts – Udemy (2024)
- Power BI & Tableau for Data Visualization – Udemy (2025)
- Python for Data Analytics – Udemy (2024)
- Data Science Real Projects in Python – Udemy (2024)
LANGUAGES
English (B1-B2 learning), German (B1-Improving), Ukrainian (Native)