Data science and machine learning are often associated with mathematics, statistics, algorithms and data wrangling. While these skills are core to the success of implementing machine learning in an organization, there is one function that is gaining importance – "DevOps for Data Science." Today we have our special guest - Dilan Jayasekara who started a career as a Software Developer and then changed his career path to Data Science and now currently working as a Data Engineer at Pitcher Partners, Melbourne. About Dilan: Portfolio : www.djayasekara.com Blog : www.jayasekara.blog Other : www.cestine.com (Music Data Analysis) Connect with Dilan: LinkedIn: www.linkedin.com/in/dilanjayasekara