Beyond Comfort: Embracing Challenges to Grow Professionally and Personally

Maggie shares her journey of stepping beyond her comfort zone, exploring new territories in her personal life. She reveals how embracing challenges and trying new things helped her in her career and personal life. Maggie's story is a powerful reminder that growth often lies on the other side of comfort, and she provides practical advice for anyone looking to expand their horizons.

Class Description

Explore the fascinating world of data science through Maggie's inspiring journey in this talk series. Maggie's unconventional path from geography to data science reveals valuable lessons for everyone, regardless of their career aspirations. Discover the importance of embracing opportunities and going beyond your comfort zone, whether you're aiming for a career in data science or simply seeking personal and professional growth. Maggie shares insights on diverse data science roles, essential skills for success, and the significance of mentorship. Gain practical wisdom on evaluating courses and certifications, making informed career decisions, and navigating life's defining moments.


Maggie is a dedicated data scientist with expertise in data science and spatial statistics, primarily within the logistics industry. She excels at bridging the gap between algorithms and product development, collaborating closely with cross-functional teams to drive innovation.

Maggie is pursuing advanced studies in artificial intelligence through graduate-level courses at Stanford University. She's particularly interested in harnessing movement data to enhance daily lives through machine learning applications. Maggie's journey embodies her commitment to excellence and innovation in the data science field, with a goal to make a meaningful impact on the world through data-driven solutions.

Data Analysis
Geographic Information Systems (GIS)
University of Toronto
Stanford University
Planning Intern, City Planning Division
City of Toronto
External Research Analyst
Data Engineer
EQ Works
Data Scientist