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Eric Deleeuw
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Orlando, Florida, United States
Résumé
Jobs
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Senior AI/ML EngineerZscalerNov 2022 - Current (3 years 10 months)• Developed scalable threat detection services using Python, PyTorch, Docker, Kubernetes, and AWS for enterprise ZTNA and identity-aware access platforms. • Designed distributed telemetry ingestion workflows processing millions of authentication events daily, audit logs, session activities, and device signals across high-volume security environments. • Implemented unsupervised detection models leveraging Isolation Forest, One-Class SVM, and Autoencoders to identify abnormal authentication behavior and suspicious session activity patterns. • Created adaptive risk evaluation systems correlating identity telemetry, device activity, and session analytics to support dynamic access enforcement decisions and reduce false positive alert volumes by- Senior Machine Learning EngineerBanyan SecurityApr 2019 - Oct 2022 (3 years 7 months)• Built enterprise-scale AI-driven security analytics solutions using Python, TensorFlow, scikit-learn, SQL, and AWS for authentication monitoring and behavioral analytics platforms. • Developed event-processing workflows analyzing authentication logs, network telemetry, access activity, and session data for anomaly detection and behavioral monitoring initiatives. • Maintained distributed ML pipelines covering feature engineering, model training, deployment automation, validation processes, and operational monitoring activities. • Applied unsupervised learning, clustering, and statistical analysis techniques to identify abnormal access behavior, suspicious authentication activity, and operational security anomalies. • Expanded streaming ana
- Machine Learning EngineerAvailityMay 2015 - Apr 2019 (4 years)• Developed scalable analytical processing solutions using Python, SQL, AWS, and enterprise reporting technologies for predictive analytics and operational intelligence initiatives. • Built automated ETL pipelines, feature engineering workflows, and recurring analytical services supporting healthcare reporting and AI-driven analytics initiatives. • Developed predictive modeling solutions and classification workflows supporting operational forecasting, reporting optimization, and customer behavior analysis initiatives. • Built reusable feature engineering pipelines and model evaluation workflows supporting operational forecasting and healthcare analytics initiatives. • Applied statistical analysis, exploratory data analysis, and predictive m
- Data AnalystBlack KnightDec 2013 - May 2015 (1 year 6 months)• Developed operational dashboards, recurring analytical reports, and reporting automation workflows using SQL, Python, and spreadsheet-based analysis tools. • Built data cleansing, transformation, and validation processes improving reporting consistency and dataset quality across internal business systems. • Supported ETL workflows, database analysis tasks, and API-driven extraction processes for enterprise analytics and operational reporting initiatives. • Worked with PostgreSQL, MySQL, and SQL Server systems to consolidate and prepare datasets for recurring analytical and reporting workflows. • Applied statistical analysis, trend analysis, and exploratory data profiling techniques to identify operational inconsistencies and reporting gap
Education
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- Bachelor of Science in Computer ScienceUniversity of FloridaJan 2013Gainesville, FL