Hello! I'm Ze Xuan


Software Engineer | Data Scientist

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About Me

I'm currently a Freshman at the National University of Singapore (NUS) School of Computing majoring in Business Analytics.

I partipate in Hackathons and Data Science related competitions frequently and am passionate about Software and Machine Learning Development. Specifically, I find great interests in the area of Natural Language Processing, Computer Vision and the intersection of AI and Software Engineering.

As an inquisitive person, I always have an eagerness and desire to learn (be it Tech-related or not). So do drop me a message if you want to connect!

Experience

  1. Bytedance

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    Incoming Backend Engineer Intern (Tiktok)May 2023 - Aug 2023
    1. Singapore Armed Forces (SAF)

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      Machine Learning EngineerMay 2020 - Mar 2022
      • Developed multiple end-to-end Machine Learning pipelines using Tensorflow, Pytorch and Keras
      • Involved in the research and implementation of accurate geo-rectification algorithm using feature matching
      • Embarked on Innovative projects regarding geolocation and 3D Mapping (QGis and WebODM)
      • Designed MySQL databases and PowerBI dashboards for better visualisation and streamline work processes
      • Test Author for Python and Machine Learning evaluation for new members
    1. Defence Science and Technology Agency (DSTA)

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      Data Analyst (Contract)Oct 2020 - Apr 2021
      • Designed Qlik Sense dashboards to better enable National Service (NS) policy decision making
      • Created comprehensive end-to-end data pipeline which accurately classifies open-ended responses in forms, up to a 95% accuracy

    Achievements

    1. expert.ai : Turn Language into Action NLH

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      WinnerSep 2022 - Oct 2022
      • Built an assistive tool that labels emotional traits in texts and story books which aims to help children with Autism Spectrum Disorder (ASD) better recognise emotions through the use of storytelling
      • Worked on Fetching, Processing, Disambiguating and Analysing storybooks
    1. EY : Better Working World Data Challenge (2022)

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      Global WinnerMay 2022 - Jul 2022
      • Built machine learning models which accurately predicts frog count densities to help scientists better understand how biodiversity is being impacted by factors including climate change and habitat loss
    1. Kaggle : Jigsaw Rate Severity of Toxic Comments

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      Top 1.7%Nov 2021 - Feb 2022
      • Built Model Ensembles to compare the level of toxicity of comments pairs
    1. Kaggle : Chaii - Hindi and Tamil Question Answering

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      Top 5.6%Aug 2021 - Nov 2021
      • Built Model Ensembles for this Question Answering problem that predicts answers to real questions in Hindi and Tamil about Wikipedia articles

    Skills

    Languages

    Python

    Python

    Java

    Java

    JavaScript

    JavaScript

    R

    R

    Technologies

    MySQL

    MySQL

    MongoDB

    MongoDB

    Flask

    Flask

    TensorFlow

    TensorFlow

    PyTorch

    PyTorch

    Keras

    Keras

    Scikit-Learn

    Scikit-Learn

    Pandas

    Pandas

    Docker

    Docker

    Git

    Git

    React

    React

    Tailwind

    Tailwind

    HTML

    HTML

    CSS

    CSS

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