Our guest today is Soledad Galli, Lead Data Scientist and Founder of Train In Data.

In our conversation, we first talk about Soledad's transition from working as a research scientist in biology to working as a Data Scientist in industry.

We then dig into Soledad's experiences at Zopa and LV= where she built machine learning algorithms for credit risk and fraud detection. We explore the challenges behind working in credit risk and discuss different methods to deal with imbalanced data and identify frauds.

We finally talk about train in data, a platform with intermediate and advanced data science courses. Soledad explains what she likes about teaching and shares advice on how to uplift your data science skills.

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Follow Soledad on LinkedIn: https://www.linkedin.com/in/soledad-galli/

Improve you Data Science skills with Train In Data: https://www.trainindata.com/

Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/ 

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(00:00) : Intro.
(02:09) : From Biology to Data Science. 
(11:01) : Building credit risk models at Zopa. 
(21:34) : Fraud detection at LV=. 
(28:18) : Dealing with imbalanced data. 
(35:32) : ML tips when working in industry. 
(41:36) : Teaching Data Science. 
(52:59) : Mistakes, advice and career progression.