Fabian Werkmeister, an Data Scientist/Data Engineering with a background in business administration who turned to data science and fell in love with it. Fabian's ability to translate between business and tech gives him a comprehensive view of data projects from beginning to end.

💡 In this episode...

... we discuss Fabian's personal mission and love for creating in tech and data. He express multiple times the importance of clear problem definition and bridging the communication gap between business and tech. Fabian shares tips and tricks for communicating data solutions to business people and prioritizing solutions over technical details. He also talks about his experiences solving data problems, including Kindle automating note summarization. Fabian discusses his understanding of cloud concepts and adding value with Google Cloud Platform. He shares insights on analyzing Spotify music data for a sub-niche genre and his LinkedIn journey. We also dive deeper into perseverance, consistent small steps, and effective learning strategies in starting and progressing through data science/data engineering.

Fabian Werkmeister: https://www.linkedin.com/in/fabian-werkmeister/

Thomas Bustos: https://www.linkedin.com/in/thomasbustos/

Artistic Direction & Video: Maxence Kerhoas

Follow Let's Talk AI:

✉️ Newsletter 👉 http://eepurl.com/ijZ8qz

🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/

📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai

📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/

🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/

🌐 Website 👉 https://lets-talk-ai.com/

Hosted on Ausha. See ausha.co/privacy-policy for more information.