Final-year Economic Informatics student based in Bucharest, focused on Python, data analytics, machine learning, web applications, and database-backed systems.
I enjoy building practical software projects that combine data, clean application logic, and useful workflows. My current interests include machine learning, AI, web development, object-oriented software design, and relational database systems.
- Python applications for data, analytics, automation, and ML prototypes
- Machine learning, feature engineering, and model evaluation
- SQL, PL/SQL, and relational database design
- Web application development with REST APIs, JWT authentication, and backend/frontend integration
- API testing and workflow validation with Postman
- Object-oriented software design in Java, including UML, BPMN, and GoF design patterns
- AI agents and LLM-based workflows through the Hugging Face AI Agents course
Languages: Python, Java, C/C++, SQL, PL/SQL, SAS, JavaScript
Data & ML: pandas, NumPy, scikit-learn, statsmodels, Streamlit, Plotly, Altair
Databases: PostgreSQL, Oracle SQL, SQLite
Web & APIs: Node.js, Express, React basics, Vite, REST APIs, JWT, Postman
Testing: unittest, JUnit, API testing with Postman
Developer tools: Git, GitHub, VS Code, IntelliJ IDEA, PyCharm, Visual Studio, Eclipse, npm
Deployment & environment: Render, Docker, venv, pip, requirements.txt
Modeling & design: UML, BPMN, object-oriented design, GoF design patterns
Bachelor thesis project built with Python, Streamlit, PostgreSQL, pandas, and scikit-learn.
It focuses on nutrition, activity, and weight tracking, with dashboard analytics, calorie balance, recommendation cards, and ML-based weight prediction.
The repository is currently private while I prepare a cleaner public version with safe demo data, screenshots, and setup instructions.
Streamlit dashboard for exploring global air and rail freight patterns.
Includes data cleaning, preprocessing, missing-value handling, outlier detection, interactive visualizations, K-Means clustering, linear regression, and logistic regression.
Oracle SQL and PL/SQL project for a maritime passenger transport database.
Includes relational schema design, constraints, representative SQL queries, views, indexes, PL/SQL procedures/functions, packages, triggers, and audit logging.
Full-stack QR-based attendance tracker for classes, workshops, and recurring sessions.
Built with React, Express, Sequelize, SQLite/PostgreSQL, JWT authentication, QR check-in, duplicate protection, and CSV export.
BSc in Economic Informatics
Faculty of Cybernetics, Statistics and Economic Informatics, Bucharest
2023 - 2026
Relevant coursework: Object-Oriented Programming, Java, Software Quality, GoF Design Patterns, Databases, Data Structures, Web Technologies, Statistics.
- Oracle Academy - Database Design and Programming with SQL
- Oracle Academy - Database Programming with PL/SQL
- IELTS Academic - Overall Band 8.0
- Cambridge FCE - C1 level
Languages: Romanian native, English advanced
- Full-stack web development through more complete project workflows
- AI agents and LLM application patterns through the Hugging Face AI Agents course
- Cleaner software architecture and system design fundamentals
- Production-ready documentation, testing, and deployment habits
- Email: stefan.condeescu@gmail.com
- GitHub: stefan1condeescu