I am a seasoned Data Engineering and Applied Machine Learning leader with over 14 years of experience driving high-impact programs across defense, capital markets, civic tech, and public sectors. Holding a Master of Science in Data Science with a specialization in Data Engineering from Northwestern University, I blend technical rigor with strategic foresight to deliver scalable, cloud-native solutions.
I have led multi-million-dollar initiatives-from architecting a 40TB/day global sensor-to-cloud pipeline at Dedrone by Axon to modernizing serverless APIs supporting the $4.2 trillion municipal bond market. My portfolio includes advanced machine learning systems for synthetic data generation, risk-scoring models for civic resource allocation, and predictive analytics powering government transformation. As a Certified Scrum Master, he aligns cross-functional teams to accelerate delivery, optimize cloud costs, and operationalize ML systems in production.
My technical stack includes Python, SQL, Spark, dbt, Airflow, AWS, and MLflow. He is an active contributor in civic data science, serves as a strategic advisor in AI-driven venture analysis, and volunteers on projects for NASA JPL and OpenMined. My work consistently integrates performance, compliance, and innovation to solve complex, real-world problems.
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Edwin Salguero
Parallel
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Original Message:
Sent: 05-07-2025 03:04 PM
From: Celena Mijares
Subject: Introduce Yourself Here
Hello Fellow Federal Data Users! Welcome to the Federal Data Forum!
Feel free to introduce yourself to the community by replying in this thread, so they can all be found in one place.
Thank you!
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Celena Mijares
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