Data Science Career Coach &&
Responsible AI Educator
After starting my career in marketing I transition to Data Science with nearly no prior technical skills. Recently my focus is on educating engineers on how to operationalize responsible AI systems.
How did I get started?
In 2014, I graduated from the University of Pittsburgh with a Digital Media and Communications degree. I worked for marketing agencies, app companies, and a plethora of online publishers before transitioning into Data Science.
After I graduated with my MS in Data Science I attended the Data 4 Black Lives Conference and my entire view of the industry changed. My eyes were open to how algorithms encode bias and I knew my focus would be to work to mitigate the harm caused by biased machine learning.
Right now I'm working as a Responsible AI Educator at Microsoft, combining what I learned in my communications and Data Science degrees.
Building a technology education platform for marginalized learners.
Writing Uncovering Bias in Machine Learning
Ayodele Odubela is a Responsible AI Educator at Microsoft (Kforce). She combines her background in communications and passion for fairness in AI to educate Data Scientists on operationalizing fair machine learning models.. She earned her Master's degree in Data Science from Regis University and has used machine learning to predict customer segments, marketing campaign outcomes, and the location of firearms using sensor data. She's a LinkedIn Learning instructor teaching Machine Learning and has given keynotes on Algorithmic Bias at the Women in Analytics Summit and PyData. Ayodele has led explainable ML workshops at Microsoft, Priceline, and has been recognized as one of 100 Brilliant Women in AI Ethics.
Please reach out for media or conference speaking opportunities. I try my best to respond within 48 hours.
I appreciate you reaching out to me.