Super Data Science: ML & AI Podcast with Jon Krohn
865: How to Grow (and Sell) a Data Science Consultancy, with Cal Al-Dhubaib
Feb 25, 2025
In this conversation, Cal Al-Dhubaib, Head of AI and Data Science at Further and former CEO of Pandata, shares his journey of building a data science consultancy. He discusses how to scale businesses by creating strong core values and effectively engaging clients. Cal highlights the importance of educating clients rather than gatekeeping information. He also addresses common pitfalls tech professionals face, such as not showing vulnerability and the need for both technical and soft skills in hires. His insights provide invaluable strategies for thriving in the data science sector.
53:50
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Quick takeaways
- Identifying and seizing market opportunities from past failures can lead to the successful establishment of a data science consultancy.
- Implementing significant upfront client commitments fosters accountability, ensuring long-lasting partnerships and a deeper understanding of client needs.
Deep dives
Lessons from Past Failures
The guest shares valuable insights from his initial unsuccessful startup, which ultimately led to the discovery of a lucrative market for data science consultancy. He reflects on the pivotal moment when he realized that the free research he provided to hospitals held immense potential for revenue. This lesson in identifying market needs birthed Pandata, a data science consultancy that thrived in a region lacking adequate data science talent. The experience emphasizes the importance of recognizing and seizing available opportunities from past failures, which can guide future success.
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