Anastasiia

ANASTASIIA MOSKALETS
Lodz, Poland | [open contact info](look above in the "contact info" section) | [open contact info](look above in the "contact info" section)
[open contact info](look above in the "contact info" section)

Objective
First-year Master’s student in Business and Digital Analytics with a background in computer science.
Interested in data analytics, BI, and finance-oriented roles. Experience working with Power BI, Excel, Python,
and SQL to analyze and transform data. Basic knowledge of ETL processes, relational databases, and strong
motivation to learn new tools and technologies in a professional environment.

Skills
Data Processing: SQL, relational databases (MySQL, SQLite), ETL basics, Python (Pandas, NumPy), Excel
Data Visualization & BI: Power BI (dashboards, data modelling, basic DAX)
Data & Deployment Workflows: Basic data pipeline concepts, GitHub Actions, CI/CD fundamentals, Azure
pipelines (introductory knowledge)

Education
Master of Science: Business and Digital Analytics, University of Lodz
10/2025 - 07/2027
Bachelor of Science: Computer Science, University of Lodz
10/2022 - 06/2025 4.6 Grade Average

Projects
Inventory Risk Diagnostic Analysis – Power BI
2026, university project. Tools: Power BI, Excel
• Built a Power BI dashboard using sales, stock, and cost data.
• Combined sales and inventory trends to detect overstock and stockout risks at SKU level.
• Classified products into growth, overstock, stockout, and decline categories.
• Estimated financial impact of inventory decisions.
Automated Data Normalization Tool – Python & SQL
2025, bachelor thesis project. Tools: Python, SQL, SQLite, Pandas
• Developed a tool that analyzes relational databases and detects normalization issues.
• Extracted table schemas and functional dependencies from SQLite databases.
• Applied transformations and generated SQL queries to improve data structure.
• Automated core steps of data preparation.
Financial Tracker Application – Backend & Database
2025, team project. Tools: Python, Django, SQL
• Developed backend logic for financial data processing using Python and Django.
• Implemented functions for storing, retrieving, and updating financial records.
• Worked with structured datasets and database queries.

Experience
Intern – Security Mail Gateway Knowledge Transfer
Eviden Poland R&D, Bydgoszcz, Poland – 07.2023 - 09.2023

• Trained in email scanning workflows and classification using Python and SQL for data analysis.
• Learned email security gateway operations, focusing on detecting spam, phishing, and malware.
• Explored backend mechanisms for processing and storing email security classifications.