I started my career in education with the Ministry of Education in Singapore (MOE). Through my time @ MOE, I gained insights into the education system in Singapore and how best to engage students to meet their learning needs.
I had an extremely rewarding career in my time @ MOE, winning multiple awards for innovative teaching and presented my ideas and project at the biennial teaching conference in Singapore
As fulfilling as teaching can be, I am exploring my other interests as well - Data and Computer science. And I am currently working on credentials to get me there!
Scroll down to see more detials on my professional and education background.
As a General Education Officer at the Singapore Ministry of Education, I spearheaded data-driven curriculum enhancements by utilizing statistical modeling and comprehensive analysis of school-level data. I was recognized for innovative teaching and practices, receiving awards for my contributions to education.
As an Entrepreneurship Lab Analyst, I conducted in-depth primary and secondary market research, employing advanced data collection and analysis methods to extract actionable insights from market trends. I collaborated closely with the Founder and CEO, using these data-driven insights to develop and recommend go-to-market strategies that informed key strategic decisions.
I earned a Master of Education in Learning Design, Innovation, and Technology from Harvard University, graduating with a 4.00 GPA, and concentrated on Global, International, and Comparative Education. My coursework included advanced quantitative analysis, machine learning, and big data analytics, with cross-registrations at MIT Sloan, Harvard Kennedy School, and Harvard Divinity School, enhancing my proficiency in R, Python, and data-driven research.
I completed a Specialist Diploma in Artificial Intelligence Solutions Development from Temasek Polytechnic, graduating with a 4.00 GPA, where I developed real-world AI-driven web applications. My projects included creating ChemAPParatus, an AI-powered image classification app for chemistry lab apparatus, optimizing image classification models on the CIFAR-10 dataset, and developing a machine learning model to predict students' adaptivity to online learning, showcasing my skills in deep learning, transfer learning, and web app deployment using Python and related libraries.
During my time at NTU-NIE, I developed strong proficiencies in teaching, with a focus on chemistry and physics. The program covered essential topics such as classroom management and parent engagement, culminating in a 10-week practicum that included eight lesson observations by senior educators and a professor.
I graduated with Highest Distinction and First-Class Honours from the National University of Singapore, earning a Bachelor of Science in Chemistry. As a government scholarship recipient and Dean’s List awardee, I also published as the first author in the peer-reviewed Journal of Chemical Education. Check out my Google Scholar profile for detials.
Developed and optimized models including image classification and predictive analytics.
Expertise in quantitative analysis, statistical modelling and big data analytics.
Created web applications with Flask backend and integrated AI models.
Published research in peer-reviewed journals and developed data-driven strategies.
Utilized advanced statistical software for data visualization and modeling.
Led teams in educational data projects and collaborated cross-functionally.
Accomplished data-driven professional with extensive expertise in quantitative analysis and statistical modelling, gained through extensive experience in educational data management. Proven track record of leveraging data to drive actionable insights, inform decision-making, and enhance team performance.