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Designs and builds scalable data platforms, ETL pipelines, and data mesh architectures while ensuring security and compliance for IoT and legacy system integrations.
Build ML models to filter security alerts and create dashboards for governance, analyzing telemetry data daily.
Build ML models and statistical analyses to prioritize security vulnerabilities and reduce false positives from telemetry data.
Build ML models and dashboards to analyze security telemetry, reduce false positives, and support governance for a cybersecurity-focused product team.
Build ML models and dashboards to analyze security telemetry, prioritize vulnerabilities, and reduce false positives for a cybersecurity-focused product team.
Build ML models to reduce security alerts and create dashboards for governance, using telemetry and vulnerability data.
Build ML models to reduce security false positives, prioritize vulnerabilities, and create dashboards for governance within an ASPM framework.
Build ML algorithms and predictive models to analyze security telemetry, reduce false positives, and support data-driven security governance.
Build ML models and dashboards to analyze security telemetry, filter false positives, and support vulnerability management analytics.
Build ML models to cut security false positives, prioritize vulnerabilities, and analyze telemetry; create dashboards and statistical models for governance.
Build ML models and dashboards to prioritize security vulnerabilities using telemetry data and quantitative analytics.
Design and build Azure-based data pipelines, ETL/ELT workflows, and data models while ensuring quality, governance, and CI/CD deployments.
Leads a team to design, build, and deploy AI agents, RAG pipelines, and distributed event-driven systems while mentoring engineers and setting technical standards.
Designs and maintains Snowflake data models and pipelines for retail analytics, writing Python and SQL to clean, transform, and document customer datasets.
Build, train, validate, and deploy ML models using Azure ML; automate workflows, implement MLOps, and monitor performance for predictive analytics.
Designs and maintains Snowflake data models and pipelines, writes Python and SQL to transform customer and behavioral datasets, and prepares AI-ready data structures.
Designs and builds Snowflake data models, cleans customer datasets, and writes Python/SQL to automate data workflows for a product-focused team.
Builds Snowflake data pipelines and Python/SQL scripts to clean, transform, and prepare customer/behavioral data for analytics and AI, while documenting workflows and translating business needs into technical specifications.
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