Show notes
In this podcast episode, we talked with Isabella Bicalho about Career advice, learning, and featuring women in ML and AI. About the Speaker:Isabella is a Machine Learning Engineer and Data Scientist with three years of hands-on AI development experience. She draws upon her early computational research expertise to develop ML solutions. While contributing to open-source projects, she runs a newsletter dedicated to showcasing women's accomplishments in data science.During this event, the guest discussed her transition into machine learning, her freelance work in AI, and the growing AI scene in France. She shared insights on freelancing versus full-time work, the value of open-source contributions, and developing both technical and soft skills. The conversation also covered career advice, mentorship, and her Substack series on women in data science, emphasizing leadership, motivation, and career opportunities in tech.0:00 Introduction1:23 Background of Isabella Bicalho2:02 Transition to machine learning4:03 Study and work experience5:00 Living in France and language learning6:03 Internship experience8:45 Focus areas of Inria9:37 AI development in France10:37 Current freelance work11:03 Freelancing in machine learning13:31 Moving from research to freelancing14:03 Freelance vs. full-time data science17:00 Finding first freelance client18:00 Involvement in open-source projects20:17 Passion for open-source and teamwork23:52 Starting new projects25:03 Community project experience26:02 Teaching and learning29:04 Contributing to open-source projects32:05 Open-source tools vs. projects33:32 Importance of community-driven projects34:03 Learning resources36:07 Green space segmentation project39:02 Developing technical and soft skills40:31 Gaining insights from industry experts41:15 Understanding data science roles41:31 Project challenges and team dynamics42:05 Turnover in open-source projects43:05 Managing expectations in open-source work44:50 Mentorship in projects46:17 Role of AI tools in learning47:59 Overcoming learning challenges48:52 Discussion on substack49:01 Interview series on women in data50:15 Insights from women in data science51:20 Impactful stories from substack53:01 Leadership challenges in projects54:19 Career advice and opportunities56:07 Motivating others to step out of comfort zone57:06 Contacting for substack story sharing58:00 Closing remarks and connections🔗 CONNECT WITH ISABELLA BICALHOGithub: github https://github.com/bellabf LinkedIn: / isabella-frazeto 🔗 CONNECT WITH DataTalksClubJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.htmlDatalike Substack - https://datalike.substack.com/LinkedIn: / datatalks-club