
DataTalks.Club
Career advice, learning, and featuring women in ML and AI - Isabella Bicalho
Dec 13, 2024
In this engaging conversation, Isabella Bicalho, a Machine Learning Engineer and passionate advocate for women in data science, shares her journey from academia to freelancing in AI. She discusses the vibrant AI scene in France, her experiences with open-source contributions, and the significance of mentorship. Isabella reveals her insights on balancing technical and soft skills, the pros and cons of freelancing vs. full-time work, and highlights her mission to showcase women's achievements in the tech field through her newsletter.
54:40
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Quick takeaways
- Isabella Bicalho's career transition highlights the importance of leveraging interdisciplinary skills from biology and computer science in machine learning.
- Her experience with freelancing emphasizes the benefits of flexibility and diverse project exposure while overcoming initial client acquisition challenges.
Deep dives
Isabella's Journey into Data Science
Isabella began her career with a background in biological science, initially aiming to become a bioinformatician. She was fortunate to study at a university that allowed her to take computer science courses, where she developed crucial programming skills. As she pursued her master's in bioinformatics, her fascination with machine learning grew, particularly as it gained prominence during her studies. This unexpected pivot led her to embrace machine learning fully, transforming her career path and allowing her to explore her passion for data.
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