Swan Lin
Data Scientist at Néah- Claim this Profile
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Bio
Experience
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Néah
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Singapore
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Blockchain Services
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1 - 100 Employee
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Data Scientist
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Nov 2022 - Present
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Lynx Analytics
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Singapore
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IT Services and IT Consulting
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1 - 100 Employee
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Data Scientist
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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
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Data Science Intern
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Jan 2020 - Apr 2020
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Ultimate Software
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United States
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Software Development
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700 & Above Employee
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Data Science Intern
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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%
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Ministry of Health (Singapore)
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Singapore
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Government Administration
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700 & Above Employee
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Data Science Intern
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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
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Education
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National University of Singapore
Bachelor's, Statistics -
Leiden University
Semester Exchange, Computer Science