Data Engineer at Ann & Robert H. Lurie Children's Hospital of Chicago
📍 Greater Houston, United States
Fahd M. is a Data Engineering Leader with over 12 years of experience transforming complex healthcare data into actionable insights. Specializing in AI-driven analytics, he has a Masters degree from Fairleigh Dickinson University. Colleagues describe him as knowledgeable, patient, and having exceptional attention to detail.
Based on his social media activity, Fahd appears to enjoy intellectually stimulating challenges and puzzles, sharing posts about logic-based games. He is passionate about leveraging emerging technologies to solve complex problems.
He has designed AI-driven denial analytics models to predict high-risk insurance claims, directly impacting revenue cycle efficiency in healthcare.
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Experience
16 Years
Current Role
Data Engineer
Location
Greater Houston, United States
Personality Overview
How Fahd shows up
Thorough Evaluator
Precise But Practical
Fast But Analytical
They respond better to strong and respectful interactions. More than the product, they care about the impact of the product. They are not always relationship oriented.
Priorities
Topics Fahd cares about
AI in Healthcare
His recent roles focus on designing AI-driven denial analytics models and deep learning for revenue cycle management, aiming to predict high-risk claims and reduce denial rates.
Modern Data Platforms
He has extensive hands-on experience designing and optimizing data pipelines using Snowflake, Databricks, Microsoft Fabric, and dbt across multiple healthcare organizations.
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Career
Work history
3-2025 - 11-2025
Data Engineer
Ann & Robert H. Lurie Children's Hospital of Chicago
12-2024 - 11-2025
Senior Data Engineer
Ann & Robert H. Lurie Children's Hospital of Chicago
4-2024 - 3-2025
Sr Azure Data Engineer
HealthPartners
1-2024 - 12-2024
Data Engineer
HealthPartners
1-2015 - 12-2023
Business Intelligence Engineer
Texas Children's Health Plan
In the press
Media appearances
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Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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