Nick Scholl
@nickscholl
Data scientist skilled in ML, analytics, and health data engineering.
What I'm looking for
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
XP Intern, Web Simulation
XP
Jan 2025 - Present (11 months)
Developed and deployed AI-powered learning prototypes that improved digital literacy engagement for 50+ students and boosted engagement rates by 20% through A/B testing and iteration.
Data Analyst
MiHIN
Jul 2023 - Present (2 years 5 months)
Analyzed HL7 v2 and CCD/C-CDA data to support statewide health information exchange, built Power BI dashboards and improved data quality by 20–35% through audits and remediation.
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%.
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.
Recreational Product Claims Intern
Farmers Insurance
May 2018 - Aug 2018 (3 months)
Analyzed large datasets to identify correlations between survey scores and follow-up calls, communicating trends to support productivity improvements.
Education
Degrees, certifications, and relevant coursework
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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