Yi De Lee

Working in UKG as Security Data Scientist

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

Bachelor of Science at National University of Singapore majoring in Data Science and Analytics