Swan Lin

Data Scientist at Néah
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Contact Information
us****@****om
(386) 825-5501
Location
SG

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Bio

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Experience

    • Singapore
    • Blockchain Services
    • 1 - 100 Employee
    • Data Scientist
      • Nov 2022 - Present

    • Singapore
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist
      • May 2020 - Present

      • Involved in building of Ethereum Blockchain Analytics Product, with focus on AML monitoring• Developed a Risk Scoring system to identity malicious transactions and entities• Profiled millions of wallets based on on-chain patterns and interactions• Designed and tested on API & UI

    • Data Science Intern
      • Jan 2020 - Apr 2020

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Science Intern
      • Aug 2019 - Nov 2019

      • Involved in a project on detecting fraudulent activities in HR Payroll software • Built predictive models, in addition to heuristic detectors, to preemptively flag suspicious acts • Gained exposure to various ML/NLP libraries: Sklearn, TF, NLTK • Improved recall & precision scores of the detectors by 18% • Involved in a project on detecting fraudulent activities in HR Payroll software • Built predictive models, in addition to heuristic detectors, to preemptively flag suspicious acts • Gained exposure to various ML/NLP libraries: Sklearn, TF, NLTK • Improved recall & precision scores of the detectors by 18%

    • Singapore
    • Government Administration
    • 700 & Above Employee
    • Data Science Intern
      • May 2019 - Jul 2019

      • Involved in a project to recommend drug prescriptions based on patients’ medical history • Engaged in strenuous data cleaning, with efficient use of Pandas, to improve data quality • Reported analytical insights for effective positioning of healthcare • Assisted doctors with more effective, and less subjective, decision making • Involved in a project to recommend drug prescriptions based on patients’ medical history • Engaged in strenuous data cleaning, with efficient use of Pandas, to improve data quality • Reported analytical insights for effective positioning of healthcare • Assisted doctors with more effective, and less subjective, decision making

Education

  • National University of Singapore
    Bachelor's, Statistics
    2016 - 2020
  • Leiden University
    Semester Exchange, Computer Science
    2018 - 2018

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