The musings of a Data Scientist
I recently had the honour of interviewing the successful Ian Oppermann. Ian is both the CEO of the NSW Data Analytics Centre and the NSW Chief Data Scientist. He was kind enough to give up some of his valuable time to share some truly unique, inspirational and valuable insights. You have the honourable and influential positions of being…
I recently had the pleasure of being interviewed by the influential Nic Ryan, an inspirational Data Scientist. He asked me some interesting and challenging questions, allowing me to share the story of my journey into Data Science, and my passion for analytics and knowledge sharing. https://www.datafriends.rocks/single-post/2018/02/27/Q-A-with-Alex-Antic-Data-Scientist
I was lucky enough to interview Kate Strachnyi, the author of the great book Journey to Data Scientist, manager at Deloitte, and a well know data visualisation expert. She’s an active contributor on the LinkedIn Data Science community, offering advice and guidance to aspiring and junior Data Scientists. She was kind enough to share some…
I recently had the pleasure of interviewing Nic Ryan, an established Data Scientist, with a wealth of knowledge and experience, and a huge following on LinkedIn. He was kind enough to share his personal story of how he entered the field and what inspires and motivates him to help others. An inspirational story full of…
As an aspiring or junior Data Scientist, you’re probably focused on ‘learning’ ie learning to code, learning about Machine Learning, statistics, etc, and learning about the industry. BUT, don’t forget the importance of Networking! Learning to connect with people is invaluable to helping grow your career. Networking has 3 key benefits for Data Scientists: It provides…
What’s one thing you can do that can completely change your career and is free? Find yourself a mentor. Better still, find yourself two mentors! “Mentorship is simply learning from the mistakes and mastery of a successful person in his/her field.” – Bernard Kelvin Clive There are two components to a successful career in Data Science:…
Over the years, I’ve worked with talented Data Scientist’s who’s backgrounds weren’t in typical quantitative disciplines, such as mathematics or statistics. I’ve had the privilege of assisting some of them to better understand the underlying mathematics behind many commonly used Machine Learning and Deep Learning algorithms. This, along with the current growth in the popularity of…
I’ve been working as a Data Scientist for a while now, and have been fortunate enough to have worked in a number of different industries, including retail and investment banking, funds management and hedge funds, insurance, and State and Federal Government. Apart from still being ‘hands-on’ with the tools, whilst managing and leading Data Science…