Kaitlin Bustos

Kaitlin Bustos is a data scientist and consultant focused on leveraging data and artificial intelligence to address real-world challenges and drive social impact. Bustos is recognized within the data science community for her expertise in AI, data analytics, and cloud computing. She is a Certified Data Science Practitioner and AWS Cloud Practitioner, holding a diploma in data science and a Bachelor of Science degree in psychology with a minor in statistics from the University of Victoria, as well as certificates in clinical data science and precision medicine.

Bustos has held roles including subject matter expert in AI, statistics tutor, data analyst, and data science consultant. As a data scientist at ProCogia, she provided end-to-end data solutions for clients in the life sciences sector, applying analytical methods to areas such as healthcare and mental health advocacy. Bustos has published work on topics including the use of data to address mental health, contributing technical insight to complex societal issues.

Bustos has been named among the top 10 women in North America for contributions in AI. As a public speaker and thought leader, she promotes community engagement and professional development in data science. Her speaking engagements include conferences, podcasts, and industry events, such as a featured talk at posit::conf titled "What I Wish I Knew Before Becoming a Data Scientist," where she shared practical insights for emerging data professionals. She has appeared on podcasts including "Data Humans," "The Dayta Dahta Podcast," and "Muse and Metrics," discussing topics from consulting to career pathways in data science.

Bustos is committed to mentoring aspiring data scientists through platforms focused on career readiness and professional growth. Her work spans public speaking, podcast appearances, and one-on-one mentorship, emphasizing the role of data and AI in solving global challenges and advancing the field of data science.