
András Berger developed a range of backend and data-driven features for the Global-rd/python_hu2 repository over four months, focusing on practical business workflows and automation. He built a RESTful Product Management API using FastAPI, SQLAlchemy, and SQLite, enabling scalable CRUD operations for product data. András also engineered a Selenium-based web scraper with robust pagination to automate multi-page data extraction. His work included a Streamlit weather app, a cryptocurrency market data tool, and object-oriented systems for banking and fleet management. Throughout, he applied Python, asynchronous programming, and data analysis, demonstrating a methodical approach to reliability, maintainability, and test coverage.

Month: 2025-05. Summary: Delivered core product data capabilities and reliability improvements across Global-rd/python_hu2. Key features delivered include a new Product Management API and a Selenium-based multi-page quotes scraper with robust selectors. Major bug fix targeted at stabilizing the scraper flow. These efforts create a scalable foundation for product data management and automated data collection, enabling faster iteration and data-driven decisions. Technologies demonstrated include FastAPI, SQLAlchemy, SQLite, and Selenium in Python.
Month: 2025-05. Summary: Delivered core product data capabilities and reliability improvements across Global-rd/python_hu2. Key features delivered include a new Product Management API and a Selenium-based multi-page quotes scraper with robust selectors. Major bug fix targeted at stabilizing the scraper flow. These efforts create a scalable foundation for product data management and automated data collection, enabling faster iteration and data-driven decisions. Technologies demonstrated include FastAPI, SQLAlchemy, SQLite, and Selenium in Python.
April 2025: Delivered four core features in Global-rd/python_hu2 with a clear focus on reliability, data integration, and business value. Implemented a Car Fleet Management System (Car and Fleet classes) with driving and refueling workflows and total mileage calculations. Built a Bank Account System supporting deposit, withdrawal, and transfer with unit tests validating correctness and error handling. Created a Cryptocurrency Market Data Script to fetch CoinGecko data, compute total market cap, identify top 50 coins by price, and sort by 24h change with a change_direction indicator. Launched a Weather Streamlit App displaying current conditions and a map, backed by a TTL-based cache refreshing every 30 minutes. Achieved improved reliability through targeted bug fixes and expanded test coverage, enhancing production stability and decision support.
April 2025: Delivered four core features in Global-rd/python_hu2 with a clear focus on reliability, data integration, and business value. Implemented a Car Fleet Management System (Car and Fleet classes) with driving and refueling workflows and total mileage calculations. Built a Bank Account System supporting deposit, withdrawal, and transfer with unit tests validating correctness and error handling. Created a Cryptocurrency Market Data Script to fetch CoinGecko data, compute total market cap, identify top 50 coins by price, and sort by 24h change with a change_direction indicator. Launched a Weather Streamlit App displaying current conditions and a map, backed by a TTL-based cache refreshing every 30 minutes. Achieved improved reliability through targeted bug fixes and expanded test coverage, enhancing production stability and decision support.
March 2025 monthly summary for Global-rd/python_hu2: Delivered a set of core features across student tooling, introduced a robust CLI experience, and fixed a security-related bug exposure regression. The work demonstrates end-to-end capability from scripting and data handling to CLI interfaces and secure repository hygiene.
March 2025 monthly summary for Global-rd/python_hu2: Delivered a set of core features across student tooling, introduced a robust CLI experience, and fixed a security-related bug exposure regression. The work demonstrates end-to-end capability from scripting and data handling to CLI interfaces and secure repository hygiene.
February 2025 — Global-rd/python_hu2: Delivered foundational Python basics for Homework 1, including an introductory print-script illustrating data types and refinements to ensure correct data-type handling. Standardized project structure by renaming the homework directory 1_introduction to hw_01_introduction under homeworks/bergerandras, improving consistency and onboarding. All work tracked with a clear Git history, enabling reproducibility and future audits.
February 2025 — Global-rd/python_hu2: Delivered foundational Python basics for Homework 1, including an introductory print-script illustrating data types and refinements to ensure correct data-type handling. Standardized project structure by renaming the homework directory 1_introduction to hw_01_introduction under homeworks/bergerandras, improving consistency and onboarding. All work tracked with a clear Git history, enabling reproducibility and future audits.
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