Ayodele Odubela

From Wikipedia, the free encyclopedia
Jump to navigation Jump to search

Ayodele Odubela is a Data Scientist at SambaSafety in Denver, Colorado. Prior to entering the data science industry, Odubela worked in social media marketing for a travel agency company.[1] Outside of her work, Odubela is a hockey fan.[2]

Education[edit]

Odubela obtained her Bachelor's degree from the University of Pittsburgh in 2014, majoring in Digital Marketing and Communication. After leaving her digital marketing career, Odubela went back to school and graduated from Regis University (Denver, Colorado) with a Master's degree in Data Science.[3]

Work[edit]

Odubela has worked at a variety of companies, including YooLotto, Adistry, Astral, and Mindbody Inc.[4] Currently, she works for SambaSafety, using machine learning models to mitigate driver risk.[5]

Activism[edit]

Odubela strives to improve the lives of marginalized people through technology. She is the Founder and CEO of FullyConnected, a platform used to promote inclusion of Black professionals in ML/AI.[5][4] Odubela spoke on VentureBeat's AI-focused Transform 2020 event with a panel of AI professionals in July, 2020. She expressed concern about biased algorithms excluding marginalized individuals.[6]

Other notable works[edit]

Odubela is currently writing a book called Uncovering the Bias in Machine Learning. In the book, she discusses the underlying biases in machine learning models against underrepresented individuals; she also emphasizes developers responsibility in changing the biased models.[7] In addition to her book, Odubela has written blogs and talked on podcasts about her experience of becoming a data scientist and how underprivileged individuals can enter the data science field.[8]

References[edit]

  1. ^ "Visit Ayodele Odubela on MentorCruise". mentorcruise.com. Retrieved 2021-04-05.
  2. ^ Mastracco, Abbey. "Why the Black Girl Hockey Club Wants NHL Fans to 'Get Uncomfortable'". Bleacher Report. Retrieved 2021-05-18.
  3. ^ Odubela, Ayodele (2020-12-29). "My Journey into Data Science". Medium. Retrieved 2021-04-06.
  4. ^ a b Quinn, Holly (2019-05-07). "Why diversity in artificial intelligence development matters". Technical.ly Philly. Archived from the original on 2019-05-07. Retrieved 2021-05-18.
  5. ^ a b Dolbow, Mike (2021-01-04). "Ayodele Odubela to GeoHipster: "Frame your work as if the data was about your friends and family."". GeoHipster. Retrieved 2021-04-06.
  6. ^ "AI needs systemic solutions to systemic bias, injustice, and inequality". VentureBeat. 2020-07-18. Retrieved 2021-04-06.
  7. ^ "Ayodele Odubela – #causeascene". hashtagcauseascene.com. Retrieved 2021-04-29.
  8. ^ "Ayodele (eye-ya-deli) — DEV Community Profile". DEV Community. Retrieved 2021-04-29.