- Designed and implemented ETL pipelines for clients, leveraging Apache Airflow for automation and scheduling.- Maintained and optimized existing data pipelines to ensure continued efficiency and reliability.- Collaborated closely with the data science team to develop robust data infrastructure supporting AI initiatives.- Engineered and deployed resilient Python-based web scraping solutions, overcoming anti-scraping defenses and implementing automated schedules for continuous data updates.- Streamlined data workflows, improving data accessibility and quality for cross-functional teams.

- Developed and deployed Python-based web applications using FastAPI, implementing RESTful APIs and integrating with databases through ORM technologies.- Utilized Docker for containerization of applications, ensuring consistent development and deployment environments across projects.- Implemented web scraping solutions to gather and process data from various online sources, enhancing data collection capabilities.- Managed version control using Git and performed basic Linux system administration tasks to support development and deployment processes.

- Designed and implemented robust web scraping solutions using Python, handling dynamic content and bypassing anti-scraping measures.- Developed efficient data extraction algorithms to parse HTML, XML, and JSON from various web sources, ensuring high-quality data collection.- Utilized libraries such as BeautifulSoup, and Selenium to automate data retrieval from complex websites and web applications.- Created data storage solutions, integrating scraped data into databases for easy retrieval and analysis.

- Explored real-world AI applications through hands-on analysis of RFID (IoT) device data, gaining practical experience in the intersection of IoT and machine learning.- Conducted comprehensive data exploration and preprocessing on RFID datasets, uncovering patterns and insights relevant to IoT applications.- Developed and implemented machine learning models tailored for RFID data analysis, enhancing IoT device performance and data interpretation.- Gained practical experience in the full data science workflow, from raw IoT data collection to model deployment in a real-world setting.

Collaboration with teams for research, design and implementation of e-learning web applications for distance studies.