Feminin
Chișinău
Pentru a vedea datele de contact ale candidatului trebuie să vă înregistrați și să achitați pentru "Acces la baza de CV‑uri".
Fișier CV încărcat
Acest CV este publicat ca fișier. Acum vizualizați versiunea text a acestuia, care poate fi ușor diferită de original.
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.
Pentru a vedea datele de contact ale candidatului trebuie să vă înregistrați și să achitați pentru "Acces la baza de CV‑uri".