This session is part of MLSA Coffee and Tea Chat series, learn more and register for the events here: MLSA Coffee and Tea Chat

What is this session about?
Looking to kickstart your career in tech in 2023? The goal of this series is to introduce you to different roles in tech, learn what a day is like in the life of professionals in the field and how you can better position yourself when applying for these roles.

Who is it aimed at?

• Students looking to being their career in tech.
• Professionals looking to accelerate their career by switching roles.
• Anyone curious about technology.
• Anyone looking to switch roles in tech.

Speakers:
Bethany Jepchumba is passionate about Data Science, Artificial Intelligence and Machine Learning. Prior to joining the role, she was a Gold Microsoft Learn Student Ambassador. She comes from a community of marathon runners 🏃🏃 but decided to run code instead🤓. With over a decade of experience in the data space, Gabriela has worked in research and in several startups from different industries, including Software, Financial, Advertisement, and Health. Throughout her career, she has built diverse teams, created sophisticated data science solutions, engaged with customers and stakeholders to deliver business insights and drive data-centric decisions. She is passionate about building innovative solutions, understanding business gaps, and customer needs, and delivering a flawless experience.

Gabriela de Queiroz is a Principal Cloud Advocate Manager at Microsoft. She leads and manages the Global AI/ML/Data Science team in Education Advocacy. Before that, she worked at IBM as a Program Director on Open Source, Data & AI Technologies and then as Chief Data Scientist at IBM, leading AI Strategy and Innovations. She is actively involved with several organizations to foster an inclusive community. In 2012 she founded R-Ladies, a worldwide organization for promoting diversity in the R community, present in more than 200 cities in 55+ countries. In 2019, she founded AI Inclusive, a global organization that is helping increase the representation and participation of minorities in Artificial Intelligence.