Episode 106: Advancing AI Adoption with Dânia Meira

Datacast

Show Notes

• (01:32) Dânia shared her upbringing in Brazil and her college experience studying Applied Mathematics at the University of Campinas.
• (05:58) Dânia touched on her early career working in marketing intelligence in Brazil.
• (10:38) Dânia described her thesis on scalable implementations of the Alternating Least Squares algorithm for Collaborative Filtering recommendation, conducted during her Master's degree in Computer Science from the University of Fluminense.
• (16:10) Dânia recalled her hustling phase working and getting a Master's degree simultaneously.
• (24:19) Dânia reflected on her move to Berlin to work as a data scientist in several startups.
• (31:00) Dânia looked back at her time working at MYTOYS GROUP's Analytics team, responsible for Predictive Analytics and Machine Learning Modeling.
• (34:12) Dânia compared doing data science to practicing mixed martial arts.
• (38:35) Dânia reflected on her involvement with Data Science for Social Good Berlin as a data ambassador and Data Science Retreat as a SQL Masterclass Teacher.
• (43:14) Dânia shared the founding story of AI Guild - the go-to community for data and business professionals advancing AI adoption - where she is a founding member.
• (47:36) Dânia gave her thoughts on barriers preventing more women from entering the data field.
• (51:21) Dânia discussed the #datalift initiative, which pushes to productionize more data analytics and machine learning solutions.
• (58:27) Dânia explained her work supporting the advancement of #datacareer talents and experts.
• (01:01:22) Dânia gave her take on the evolution of the data field over the past decade.
• (01:03:16) Closing segment.

Dânia's Contact Info

• LinkedIn
• Twitter
• Website
• GitHub
• Medium

AI Guild's Resources

• Website | LinkedIn | YouTube
• Join As A Member
• #datalift
• #datacareer

Mentioned Content

People

1. Andrew Ng: Founder of deeplearning.ai, co-founder of Coursera
2. Alessandra Sala: President of Women in AI, Sr. Director of Artificial Intelligence and Data Science at Shutterstock
3. Joy Buolamwini: Founder and Executive director of The Algorithmic Justice League and maker of the "Coded Bias" documentary, available on Netflix

Book

• Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O'Neil

About the show

Datacast features long-form, in-depth conversations with practitioners and researchers in the data community to walk through their professional journeys and unpack the lessons learned along the way. I invite guests coming from a wide range of career paths — from scientists and analysts to founders and investors — to analyze the case for using data in the real world and extract their mental models (“the WHY and the HOW”) behind their pursuits. Hopefully, these conversations can serve as valuable tools for early-stage data professionals as they navigate their own careers in the exciting data universe.

Datacast is produced and edited by James Le. For inquiries about sponsoring the podcast, email [e-mail].

Subscribe by searching for Datacast wherever you get podcasts, or click one of the links below:

• Listen on Spotify
• Listen on Apple Podcasts
• Listen on Google Podcasts

If you’re new, see the podcast homepage for the most recent episodes to listen to, or browse the full guest list.

About the show

Datacast features long-form, in-depth conversations with practitioners and researchers in the data community to walk through their professional journeys and unpack the lessons learned along the way. I invite guests coming from a wide range of career paths — from scientists and analysts to founders and investors — to analyze the case for using data in the real world and extract their mental models (“the WHY and the HOW”) behind their pursuits. Hopefully, these conversations can serve as valuable tools for early-stage data professionals as they navigate their own careers in the exciting data universe.

Datacast is produced and edited by James Le. For inquiries about sponsoring the podcast, email [e-mail].

Subscribe by searching for Datacast wherever you get podcasts, or click one of the links below:

• Listen on Spotify
• Listen on Apple Podcasts
• Listen on Google Podcasts

If you’re new, see the podcast homepage for the most recent episodes to listen to, or browse the full guest list.