In Episode 49 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Karen Jean-Francois, Analytics Manager at Cardlytics, where they discuss how people can craft the career they want in Data & Analytics, her humbling career journey so far and how she overcame imposter syndrome, which includes;

• Moving from the Caribbean to Paris to London
• Her struggles of living away from home & her family
• The transition from performing at the European Championships into the world of Data
• Why she hosts the Women In Data Podcast
• How she was awarded the 20 in Data & Technology 2020
• Why she struggled to find her place & voice
• The importance of role models and networking on her career
• How she joined Cardlytics as the only female in the team
• Why she had a huge case of Imposter Syndrome and how she overcame it
• How she realised it was all in her own mind
• Why it prevented her from being promoted despite knowing she was doing great work
• The importance of opening up about Imposter Syndrome
• Why company culture is so important to deal with Imposter Syndrome
• How to go from diagnosis to action (to start addressing the problem)
• The journey from introvert with imposter syndrome to winning industry awards and podcast host
• The technical V commercial debate
• How she almost quit Data & Analytics to become a pastry chef
• That she realized that she had so far let others decide what my career would look like
• The importance of owning your own career and defining what you want it to be
• Her top questions for crafting your career:

1. Where are you at today?
2. Where would you like to be and why?
3. What's stopping you from getting there?
4. How are you going to overcome these blockers?

In Episode 12 of Season 2 on Driven by Data: The Podcast, Kyle Winterbottom is joined by Nathan Hungenberger, CTO & EVP Science at Known where they discuss the importance of getting the balance right between science and creativity, which includes;

• The importance of data science in making better creative
• Why adopting the scientific methodology is crucial
• The tangible benefits of experimentation
• How to incorporate experimentation into an already hectic workload/schedule
• How focusing on the science methodology makes it easier to build data science teams
• The importance of optimizing creativity and what role data science plays in this
• How he built a successful team of 125 people
• The timescales to success
• Real-life success stories