I am a senior AI/ML engineer with over 15 years of experience designing predictive systems and delivering production-grade models across healthcare, retail, insurance, and energy. I thrive in turning complex data challenges into scalable, data-driven solutions by leveraging machine learning, deep learning, NLP, and cloud-based deployment, all while partnering closely with engineering, product, and business teams to drive measurable outcomes. My track record includes building end-to-end ML pipelines, automating anomaly detection, and delivering deployment workflows that shorten release cycles. I am passionate about creating impact at scale and mentoring teams to adopt robust, repeatable data science practices that fuel better decisions and continuous improvement.

Eric Parker

I am a senior AI/ML engineer with over 15 years of experience designing predictive systems and delivering production-grade models across healthcare, retail, insurance, and energy. I thrive in turning complex data challenges into scalable, data-driven solutions by leveraging machine learning, deep learning, NLP, and cloud-based deployment, all while partnering closely with engineering, product, and business teams to drive measurable outcomes. My track record includes building end-to-end ML pipelines, automating anomaly detection, and delivering deployment workflows that shorten release cycles. I am passionate about creating impact at scale and mentoring teams to adopt robust, repeatable data science practices that fuel better decisions and continuous improvement.

Available to hire

I am a senior AI/ML engineer with over 15 years of experience designing predictive systems and delivering production-grade models across healthcare, retail, insurance, and energy. I thrive in turning complex data challenges into scalable, data-driven solutions by leveraging machine learning, deep learning, NLP, and cloud-based deployment, all while partnering closely with engineering, product, and business teams to drive measurable outcomes.

My track record includes building end-to-end ML pipelines, automating anomaly detection, and delivering deployment workflows that shorten release cycles. I am passionate about creating impact at scale and mentoring teams to adopt robust, repeatable data science practices that fuel better decisions and continuous improvement.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

Senior AI/ML Engineer and Data Scientist at Aptean
September 1, 2025 - September 1, 2025
Improved product forecasting accuracy across enterprise ERP suites by integrating end-to-end machine learning pipelines into core business modules. Automated anomaly detection in order and inventory workflows, surfacing actionable insights and reducing manual investigation time for clients. Built NLP components for customer support tools that increased case routing speed and improved response quality across high-volume queues.
AI/ML Engineer at Amazon
January 1, 2021 - January 1, 2021
Supported retail and operations teams with large-scale predictive models for demand, pricing, and customer behavior to guide daily decisions. Enhanced fraud detection efficiency through advanced feature engineering, supervised learning techniques, and real-time scoring. Delivered model deployment workflows used by internal engineering groups to shorten release cycles and streamline production testing.
Data Scientist at Cigna Healthcare
January 1, 2016 - January 1, 2016
Built risk scoring models to identify members needing early medical intervention. Analyzed claims and historical patterns to improve cost prediction and care management decisions. Created dashboards and analytic tools for medical and business stakeholders to streamline reporting. Partnered with compliance teams to ensure models met healthcare privacy and quality requirements.
Machine Learning Engineer at Duke Energy Corporation
December 1, 2008 - December 1, 2008
Produced load forecasting models to support grid planning and improve energy distribution decisions. Helped optimize maintenance schedules by applying predictive techniques on sensor and equipment history. Designed data processing routines that made large volumes of operational data easier to track and analyze.

Education

Master of Science in Artificial Intelligence at University of Arizona
September 1, 2004 - May 1, 2008
Bachelor of Science in Mathematics and Computer Science at University of Arizona
August 1, 2000 - August 1, 2004

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Energy & Utilities, Retail, Financial Services, Professional Services, Software & Internet