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Nick SchollNS
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Nick Scholl

@nickscholl

Data scientist skilled in ML, analytics, and health data engineering.

United States
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What I'm looking for

I seek data-focused roles where I can build ML-enabled products and data pipelines, collaborate cross-functionally, and drive measurable improvements in engagement and data quality.

I am a data scientist and analyst with hands-on experience building ML-driven education prototypes and supporting statewide health information systems. I combine statistical modeling, software development, and data engineering to deliver measurable improvements in engagement and data quality.

In my recent roles I designed and deployed machine learning models, built end-to-end data pipelines with Python and PostgreSQL/Supabase, containerized applications with Docker, and deployed via Vercel, improving engagement and reproducibility. At MiHIN I analyzed HL7 and payer data, created Power BI dashboards, and improved data quality and operational KPIs through audits and remediation.

I am collaborative and product-focused, partnering with educators, designers, developers, and health-system stakeholders to translate analytics into action. I emphasize repeatable processes (CI/CD, testing, Git), clear documentation, and mentoring teammates to scale impact across organizations.

Experience

Work history, roles, and key accomplishments

MI

Technical Support Specialist

MiHIN

Nov 2019 - Jul 2023 (3 years 8 months)

Resolved 60+ support tickets per day, developed AWS tools that improved ticket efficiency by 22%, and automated Power BI/Excel reporting to reduce manual report time by 20%.

GC

Integration Analyst Intern

Great Lakes Health Connect

May 2019 - Nov 2019 (6 months)

Translated business requirements into technical specifications, conducted validation testing, and supported integration teams with special projects to improve solution adoption.

Education

Degrees, certifications, and relevant coursework

Grand Valley State University logoGU

Grand Valley State University

Master of Data Science and Analytics, Data Science and Analytics

Grade: 3.75

Completed a graduate program focused on data science and analytics with strong coursework and applied projects in machine learning, data pipelines, and visualization.

Cornerstone University logoCU

Cornerstone University

Bachelor of Arts, Mathematics

Grade: 3.5

Earned a Bachelor of Arts in Mathematics with a minor in Finance, including quantitative coursework and applied data analysis experience.

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