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Caleb Cheong

Caleb Cheong

Software Engineering Intern @ Blockchain Payment Solutions

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location of Caleb CheongSingapore

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  • Timeline

  • About me

    Data Science, Credit Risk Modeling @ SeaMoney

  • Education

    • Singapore Management University

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      Information Systems Information Technology

      • Major in Business Analytics and Digitalisation & Cloud Solutions (Dual-track)• Currently on track to Summa Cum Laude• SMU-Google Squared Programme• Teaching Assistant - Database Management (2021)• Projects Highlight: o Enterprise Solution Development Project (Top 1 Project in cohort) - MulG-Cloud, Hybrid-Cloud Kubernetes Deployment of Microservices that were built with Flask, .Net and Spring Booto Social Analytics and Application Project - DeFi Crypto Price… 더보기 • Major in Business Analytics and Digitalisation & Cloud Solutions (Dual-track)• Currently on track to Summa Cum Laude• SMU-Google Squared Programme• Teaching Assistant - Database Management (2021)• Projects Highlight: o Enterprise Solution Development Project (Top 1 Project in cohort) - MulG-Cloud, Hybrid-Cloud Kubernetes Deployment of Microservices that were built with Flask, .Net and Spring Booto Social Analytics and Application Project - DeFi Crypto Price Trend Predictor with Sentimental Analysis of Discord, Twitter and Reddit Data with 90% accuracy on some DeFi Coins 더보기 취소

    • Temasek Polytechnic

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  • Experience

    • Jungle Element

      Aug 2017 - Oct 2017
      Software Engineering Intern @ Blockchain Payment Solutions

      Did my school's major project for Jungle Element. • Created a Secure 2FA Payment System with scalability and modularity in mind• Secured the Payment System by store transaction ledgers on a private blockchain network I created• Programmed and designed a dynamic UI for data analysis and visualisation of data collected• Developed a POC to show how a payment system can run on cloud architecture(Azure) and blockchain

    • SGX Group

      Oct 2017 - Jul 2018

      • Analysed market data and developed dashboards for customers with KDB+/Q• Setup and test data science platforms for data science team. (Microsom, IBM, SAS)• Setup and test unstructured databases for data science team. (MongoDB, MarkLogic)• Automate business processes with Machine Learning. (Python - SVM, MPL, NB)• Developed patches for the KDB+ Database to fix bugs or accelerate processes

      • Data Analyst / Developer @ Fintech & Data

        Jan 2018 - Jul 2018

      • Data Analyst Intern @ Fintech & Data

        Oct 2017 - Jan 2018

    • SeaMoney

      May 2022 - Nov 2022
      Data Science Intern @ Credit Risk

      Attached to SeaMoney as part of the SMU-Google Squared Data & Analytics Programme• Analyse and compare credit risk products from Shopee and competitors (Python)• Developed User Credit ApplicaGon Data Credit Risk Model w/ XGBoost (Python)• Developed User Mobile App Embedding w/ autoencoder transformer network on Tensor-flow (Python)• Developed Fairness Evaluation framework for AI model discrimination (Python)

    • GIC

      Jan 2023 - Jun 2023
      Software Engineering Intern @ Trading Analytics

      • Collaborated within an Agile team environment.• Designed intricate Trading Analytics Logic. (KDB+/Q)• Successfully launched the team's inaugural production analytics react dashboard from scratch. (ReactTS , Nginx)

    • SeaMoney

      Apr 2024 - now
      Data Scientist @ Credit Risk Modeling

      Credit Risk

  • Licenses & Certifications