Should I learn Data Science...or Machine Learning instead? How can I develop my career in Data Science?
There has been a huge demand for data scientists across the globe. The past three years have seen a massive growth – almost 15 -20 times – based on jobs in sectors like education, marketing, and manufacturing. More and more, companies are also leveraging on data as part of their growth strategies. However, is that all about to change?
Join Full-stack Generalist and Data Scientist, Daren Tan as he shares his journey in learning Data Science and the steps it takes to become a data scientist
Who Should Attend:
✅ If you are looking to implement Data Science in your work or business
✅ If you are looking to start an AI-based business or company
✅ If you are looking to switch your career and get involved in the field of AI and Data Science
✅ If you are seeking to understand what AI and Data Science are all about as general knowledge
👨🏻💻 Daren Tan, Assistant Manager at MaGIC
Daren is a full-stack generalist and data scientist. Avidly passionate on combining data, design and development onto solving real-life problems. Prior to his current role, he worked as a freelance developer/consultant for multiple startups around Asia for 3 years bringing ideas to life.
A serial hackathon winner with a cumulative total of 6 podium finishes and 4 Top 10 finishes. He even entered international hackathons as far as Italy and London before. He is also the winner of the Merit Prize at the 17th MSC Malaysia APICTA Awards 2016. Founded Hackathon Kaki & Developer Kaki, two active tech communities in Malaysia with over 10,400 members.
He is currently working as Assistant Manager in MaGIC’s Tech & Innovation team working on tools and technologies to empower startup ecosystem in Malaysia. He is also a familiar face on the judging panels for hackathon/entrepreneurial events and invited as speaker for tech events and universities.