Fabio Ynoe de Moraes: Key Habits for a Data Scientist and AI Leader
Fabio Ynoe de Moraes, Associate Professor at the Queen’s University, shared on LinkedIn:
“KEY HABITS FOR A DATA SCIENTIST AND AI LEADER:
Morning Data Review: Start your day by reviewing key metrics or datasets. This keeps you directly connected to the data you’re working with.
Mindful Meditation: To enhance focus and decision-making, which is crucial in data analysis and leadership.
Learning and Reflection Journal: Regularly documenting insights, learning points, and reflections on AI trends and data science developments.
Daily Tech Break: A short period away from screens to rejuvenate, reducing the risk of burnout.
Advance Project Planning: Staying ahead in project management and strategy, ensuring you’re prepared for upcoming challenges.
Continuous Learning Time: Dedicating a portion of your day to learn new data science techniques, AI developments, or leadership skills.
Podcasts on AI and Tech Trends During Commute: Utilize travel time to stay updated on the latest in technology and leadership.
Solo Problem-Solving Sessions: Allocating time for uninterrupted deep work to tackle complex data problems or strategic planning.
Weekly Review and Planning: Regularly evaluating past performances and planning upcoming weeks to balance technical, leadership, and personal responsibilities.
Do any of these habits align with your current practices, or are there any you see as beneficial to incorporate into your routine as a data scientist and AI leader?”
Source: Fabio Ynoe de Moraes/LinkedIn