We’re excited to welcome Kayla Wilding to the DataKind team as our Senior Data Scientist! With a background spanning economic consulting and international development, Kayla brings deep expertise in applying machine learning and data science to complex financial and social impact challenges. From advancing financial inclusion to exploring innovative applications of AI, she’s passionate about harnessing data for good – a mission that makes her a perfect fit for DataKind. Read on to hear from Kayla about her background, what drew her to DataKind, and a few fun facts outside of data science.
What were you up to before DataKind?
Prior to joining DataKind, I worked in economic consulting as well as international development. I specialized in applying machine learning and data science to financial projects, including financial inclusion and securities. Thus, DataKind felt like a great fit to continue applying data science and machine learning to social questions.
Why are you excited to join DataKind?
I am excited to join DataKind because I believe in applying the skills we have developed to help other social impact organizations. Further, the company has a great focus on DEI and the team that I believe is important.
What do you like to do in your free time?
I live in southern California, so most of my free time is spent outdoors including running, going to dog beaches, paddle boarding, and more. I have also taken up figure skating in the last couple of years and have spent a lot of time learning that fun, new skill.
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