Driven and curious Business and Computing undergraduate. I enjoy the critical thinking and innovative challenges from Computing and honing my communication skills and industrial domain knowledge from Business. I am passionate about the borderless and imaginative transformations technologies can bring to the community and businesses. I wish to work towards bringing greater ideas, skills and knowledge to create greater good for the society and impact people's lives. Connect with me if you feel the same too!
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Full Stack Software EnginnerMastercardSingapore -
Coding InstructorThe Lavender Spaceship Project Jan 2024 - PresentSingapore -
Private TutorSelf-Employed Mar 2021 - Present
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Machine Learning ResearcherBosch Jul 2024 - Sep 2024SingaporeIt was a big challenge to work on a Multimodal Sensing Kitchenware Project with Bosch over my summer. I independently developed a time series prediction model using denoising and clustering techniques. After numerous explorations and self learning, I managed to achieve a good performance of less than 30 seconds difference away the desirable grade. With this new model, I scaled down the burden of processing unit with a smaller model size around 2kB that helps to reduce the operating cost by 50%. This sets the foundation for the automation of the machine to stop when reaching the desirable state. -
Business Analyst InternAccenture May 2024 - Jul 2024Singapore -
Product Engineer InternMarymount Labs Mar 2024 - May 2024SingaporeImprove Whatsapp Chatbot features that streamline communication between patients and clinics.Designed conversation tracking dashboard with manual interventionImplemented security protocols in the backend database such as Auth to enhance reliability of storing patient data. -
Full Stack DeveloperTalentkraft Jan 2024 - Mar 2024SingaporeDeveloped a user friendly website with Reactjs, MongoDB, Express.jsIntegrated Chatgpt API to generate relevant and comprehensive department goals from organisation goals -
Data Science InternSingtel May 2023 - Jul 2023Singapore, Singapore- Built a portion of the Recommender System that automates the customer recontract process and maximizes the chances of existing clients accepting the recommended offers. Analyzed multiple data structure to store and edit the huge pool of rules in the Recommender System in the most dynamic way.- Ideated a user interface which helps the marketing team to more efficiently input marketing rules into the Recommender System that handles more than 100 combinations of criteria. Created multiple versions of prototypes in Excel and Streamlit for proof of concept.- Customized an anomaly detection model independently using SARIMA Forecasting to help Product Team analyze daily network data and notifies the team when action and attention is needed. This solves Product Team's business challenge having to constantly monitor 200 customers' network usage traffic daily previously. -
Summer Research InternDso National Laboratories May 2022 - Jul 2022Extermly fortunate to be able to intern under the Space System Project Division. I led a research project by myself on image enhancement and computer vision using python programming language. Furthermore, I also got a chance to work on a side task relating to machine learning and object detection using MASK-RCNN and Tensorflow. -
Moe Trainer/FacilitatorHigh Achievers (Singapore) Jul 2021 - Jun 2022Conduct workshops and leadership camps for secondary school students. -
Clinic AssistantDr Joyce And Partners Family Clinic Feb 2021 - Apr 2021Singapore
Lee Pei Yee Education Details
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Double Degree Of Business And Computing
Frequently Asked Questions about Lee Pei Yee
What company does Lee Pei Yee work for?
Lee Pei Yee works for Mastercard
What is Lee Pei Yee's role at the current company?
Lee Pei Yee's current role is Full Stack Software Enginner.
What schools did Lee Pei Yee attend?
Lee Pei Yee attended Nanyang Technological University, Raffles Institution, Tanjong Katong Secondary School.
Who are Lee Pei Yee's colleagues?
Lee Pei Yee's colleagues are Aarthy Venkataraman, Harsh Goel, Yasser Baltham, Travis Lamb, Atikur Raj, Pankaj Yadav, Pekka Laaksonen.
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Lee Pei Yee
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