Breaking into a Data Science Career

Based on LinkedIn Talent Insights data, Data Science is among the fastest-growing job roles in Singapore.

Come join this alumni sharing session and find out how you can forge a career in this field, whether your course of study is tech-focused or not. Meet Aaron Lim (Psychology ‘ 2020) and Kenny Chong (Physics ‘2017) who will be sharing about their journey to becoming Data Scientists.

Look forward to learning:

• Essential key skills and experience that employers value
• Tips for Portfolio Building and Technical Interview Preparation
• Strategies for Resume Customisation

Come network in-person with our alumni practitioners, gain clarity on questions or doubts you may have, and obtain knowledge that can help you land a Data Science internship or job.

Speaker(s)

Aaron Lim
Alumnus, Psychology, Class of 2020
Aaron completed the Concurrent Degree Programme at NUS, studying Psychology with a focus on quantitative methods. He started his career at Grab as a Behavioural Scientist and later joined Dyson as a Data Scientist. His roles required him to utilise his expertise in Data Science and Psychology to generate valuable insights and strategic solutions for businesses. His unique blend of knowledge allowed him to become an expert in understanding and manipulating human behaviour using data, as well as running experiments to validate hypotheses and quantify the impact of initiatives at his companies.

Kenny Chong
Alumnus, Physics, Class of 2017

Kenny graduated from NUS with a degree in Physics and Mathematics. Through NUS Overseas College programme, he did a data science and product internship at Israel, where he applied data science in the sports domain.

Furthering his data science interest, Kenny started his career as a freelance Data Consultant, partnering with a hospital to implement AI-powered colonoscopy analysis. He then transitioned to a 0-1 AI startup (i.e. pre-seed to Series A), where his skills were applied to designing and optimising machine learning algorithms for HR process improvement.

Kenny is currently a Data Scientist at Dyson, focusing on Energy Storage.

Register by 26 August 2024