Meet Maggie.

Maggie, is a data scientist with an unconventional path. Unlike many of her peers, Maggie didn't start her career with a degree in data science or computer science. Instead, she studied Geography in university. Maggie shares about how she got her start in data science.

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.

About

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.

Skills
R
Python
Statistics
Data Analysis
Research
Geographic Information Systems (GIS)
Education
University of Toronto
Stanford University
Experience
Planning Intern, City Planning Division
City of Toronto
External Research Analyst
Flipp
Data Engineer
EQ Works
Data Scientist
Quincus