Dr. Jennifer Prendki is the Head of Data Science at Atlassian, where she leads all Search and Machine Learning initiatives and is in charge of leveraging the massive amount of data collected by the company to load the suite of Atlassian products with smart features. She received her PhD in Particle Physics from University UPMC - La Sorbonne in 2009 and has since that worked as a data scientist for many different industries. Prior to joining Atlassian, Jennifer was a Senior Data Science Manager in the Search team of Walmart eCommerce. She enjoys addressing both technical and non-technical audiences at conferences and sharing her knowledge and experience with aspiring data scientists.
As a former physicist, I am a strong supporter of the scientific method, mathematical rigor and attention to detail, and believe all decisions should be based on data rather than intuition. I have worked on big data problems years before the term was even invented, both in an academic and an industrial setting. More specifically, I have a strong understanding of the challenges and specificities of the data science function in the context of finance, advertisement and retail. I have built data teams from scratch in several companies, and I am regularly advising young companies who collect data but don’t know quite yet how to turn their data assets it into a real competitive advantage.