Загруженный файл CV

Education

• Technical University of Moldova

  • 01/09/23 - 21/01/25
  • Master degree in Computer Science

• Ștefan cel Mare University of Suceava

  • 01/10/23 - Current
  • Master degree in Computer Science

• Bachelor degree in Computer Science

  • Technical University of Moldova
  • 01/09/19 - 07/07/23

Skills

• Languages: Python, SQL, Java
• ETL & Data processing: Data cleaning, transformation, deduplication, JSON handling
• Databases: SQL Server, PostgreSQL, dynamic SQL, ROW_NUMBER, stored procedures
• ML & Analysis: Scikit-learn, Pandas, NumPy, MAE evaluation
• Visualization: Power BI, Matplotlib, Seaborn
• Tools: Git, Docker, APIs
• Cloud & Big data (basic): Azure
• Soft Skills: Problem-solving, teamwork, attention to detail

Languages

• Romanian (Native)
• Russian (Native)
• French (Professional working proficiency)
• English (Professional working proficiency)

Project Work Experience

• Data Analyst at Cedacri International

  • 06/2023 – 12/2023
  • Worked on data integration and database management.
  • Improved data processing workflows and collaborated with cross-functional teams.

• Data Engineer Intern at AMDARIS

  • 03/2025 – 04/2025
  • Developed a modular ETL pipeline for environmental data.
  • Automated data extraction from APIs using dynamic SQL.
  • Implemented data validation, cleansing, and standardization.
  • Loaded data into Data Warehouse using Bulk Insert.
  • Trained a RandomForest model for predicting the AQI index.
  • Created interactive dashboards in Power BI.

• Comparative analysis of AI algorithms - Master thesis

  • 09/2024 - Present
  • Conducted a comparative analysis of AI algorithms using metrics such as precision, accuracy, F1 score, and recall.
  • Technologies used: Python, Scikit-learn, Pandas, Matplotlib.
  • Created an application using Django for real-time analysis.

• Cloud Application Deployment and Management

  • 02/2024 - 04/2024
  • Deployed a cloud-based application using Docker and Kubernetes.
  • Containerized the application with Docker and deployed it to a Kubernetes cluster on Microsoft Azure.