📅 2024-10-14 — Session: Strategic Planning for Data Science Department
🕒 13:20–17:20
🏷️ Labels: Data Science, Comisión De Carrera, Strategy, Data Management, Python
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore and strategize on enhancing the role and impact of the Data Science department at UBA, focusing on the Comisión de Carrera and broader departmental challenges.
Key Activities
- Analyzed the Reglamento of the Comisión de Carrera to understand its structure and roles.
- Explored strategies to use the Comisión as a platform for community discussions and development.
- Proposed strategies for expanding the Comisión’s influence, including interdepartmental collaboration and industry linkage.
- Reflected on the university’s role in AI and data science research, proposing strategies for strengthening its collaboration with the private sector.
- Advocated for the Data Science Department to become a national leader, emphasizing innovation and cooperation despite budget cuts.
- Developed a report addressing data quality issues in academic datasets, proposing a relational database model for better data management.
- Worked on Python scripts for data manipulation, including CSV automation and data extraction.
Achievements
- Clarified the challenges and opportunities for the Comisión de Carrera and the Data Science department.
- Developed actionable strategies for departmental growth and influence.
- Identified and proposed solutions for data quality issues in academic datasets.
Pending Tasks
- Implement proposed strategies for the Comisión de Carrera and departmental development.
- Finalize and present the data quality report to the relevant committees.
- Continue refining data manipulation scripts for improved efficiency.