Singapore
With a striving passion and portraying a motivated mindset for Business & Financial Technology, I aim to solve real-world complex issues with the aid of technology. I am skilful in multiple programming languages, as well as the logic involved. I am also capable of adapting to new working environments due to ample different working experiences. Hence, equipped with both business thinking and coding logic, I am able to bring new business and technological solutions.
Website: www.Nanobee.app Nanobee is a pre-seed stage start-up started by students from NUS SoC, NYP Business, and IT schools with experiences in the start-up scene, such as Start-up Development at EnterpriseSG, Business Development at Grab and MAS and we have a current headcount of 7. We aim to streamline the nano-influencer process to help small businesses grow by using Artificial Intelligence (AI) to profile and match suitable influencers to business campaigns, develop improved tools for businesses to manage campaigns and enable new ad-hoc services that influencers on our platform can provide that are not currently being offered by our competitors. We are currently backed by Nanyang Polytechnic’s $10,000 JumpStart grant (2nd Cohort, 2022) My current role is to develop and maintain Nanobee’s web application front-end and the back-end systems such as curating Nanobee’s intuitive UI/UX, Cloud Database, system logic, and performing crucial analyses.
Create Lab Pte Ltd stands out as a prominent player among Singapore's Top-10 startups, driven by a compelling mission to empower children by unleashing their creative potential through technology. In my journey with Create Lab, I have honed an extensive set of invaluable soft skills, encompassing lesson planning, adept class management, inspiring leadership, and innovative teaching techniques. These skill sets have not only equipped me to excel in my role but have also contributed to my personal growth. Notably, a standout achievement was assuming the pivotal role of lead instructor for a successful one-week programming camp hosted at Agora Co-Learning, where I skillfully guided and inspired a diverse group of students in their exploration of coding and technology.
Department: Data Science & Modelling I have successfully curated a brand and product detection model, backed by sophisticated algorithms to accurately identify specific brands and products. This model targets skincare and haircare products that consumers are using daily. The aim of this is to aid in automatically identifying and performing passive analysis on the products the consumers in the wild are using. This model also allows identified products to be mapped with useful information such as the ingredients, product form, market origin, etc, which will aid in product understanding. The superior brand detection model is validated with a precision accuracy of 95.86% and a recall accuracy of 96.06%.