About Yi De Lee:
Working in UKG as Security Data Scientist
Experience
Devised methods to reduce false positives in direct deposit use cases by at least 40%
•Leveraged machine learning techniques to detect command line obfuscation
•Engineered data pipelines to ingest data from Jira, GraphQL and GCP BigQuery to Splunk to provide real-time information and metrics
•Built dashboards to display and monitor security trends, detections' performance, incident management metrics and SLA
•Developed signature-based security detections to detect abnormal activities
Education
Bachelor of Science at National University of Singapore majoring in Data Science and Analytics
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