Michael Issah
@michaelissah
Senior data scientist specializing in healthcare analytics and provider performance.
What I'm looking for
I am a senior data scientist with over eight years of experience building predictive models, rules-based systems, and scalable analytics platforms focused on healthcare claims, provider performance evaluation, and patient outcomes optimization.
At Novo Nordisk I led analytics work across 47M patient records, developing machine learning and rules-engine solutions with Python and AWS that improved risk identification by 35% and cut document analysis time by 90%, while establishing data quality frameworks and mentoring junior staff.
I bring cross-functional collaboration experience with product, clinical research, and business stakeholders, strong data engineering skills for HIPAA-compliant pipelines, and a mission-driven approach to improving healthcare delivery through reproducible, validated analytics.
Experience
Work history, roles, and key accomplishments
Data Engineer
Merck
Mar 2025 - Oct 2025 (7 months)
Led implementation of analytics infrastructure for bioprocessing data and created interactive Python dashboards (Plotly, Streamlit) to help scientists identify optimal conditions and improve operational efficiency.
Led development of an analytics platform processing 47M claims to evaluate provider performance across diabetes and CKD populations, building rules-based systems and ML models that improved high-risk patient identification by 35% and reduced analysis time by 90% for document extraction.
Built automated ETL pipelines using AWS (Glue, Lambda, S3, Athena) to ingest and transform healthcare claims and provider data, ensuring HIPAA-compliant scalable architecture and supporting modeling efforts for provider performance and outcomes analysis.
Developed automated reporting solutions for trade transactions that improved data accuracy and reduced manual processing time in a high-volume trading environment.
Software & Advanced Analytics Developer
Berkley Life Sciences
Apr 2016 - Jan 2019 (2 years 9 months)
Developed rules-based systems and predictive models for insurance risk assessment, automating analytics tools that reduced manual research time by 80% and informed portfolio risk management decisions.
Education
Degrees, certifications, and relevant coursework
Vanderbilt University
Postdoctoral Research Associate, Physics
Postdoctoral research in physics focusing on advanced statistical modeling and analysis of large-scale experimental datasets.
Stony Brook University
Doctor of Philosophy, Chemical Physics
PhD in Chemical Physics; dissertation involved systematic analysis of particle flow patterns from petabyte-scale collision data using statistical modeling.
University of Paris VII (Paris Diderot University)
Bachelor of Science, Physics
Bachelor of Science in Physics covering core physics principles and quantitative analysis.
Availability
Location
Authorized to work in
Job categories
Skills
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