Nathanael Johnson
Applied AI & Data Science ProfessionalNathanael is an Applied AI and Data Science professional from Saba, Netherlands Antilles, based in Nashville, TN. He holds an M.S. in Applied Artificial Intelligence and a B.S. in Data Science from Lipscomb University. With a background spanning business intelligence, machine learning, and healthcare AI research, he is passionate about building data-driven solutions that create real-world impact. Outside of work, he enjoys working out, hiking, cinematography, drawing, video games, and board games.
Work Experience
Handshake AIJuly 2026 – Present
AI Fellow, Data Analytics Evaluation- Design expert-level data analytics tasks that test where frontier AI models go wrong, pairing realistic business datasets with recommendation questions the models must answer correctly.
- Build synthetic and public-data corpora in Python, pandas, and SQL, with a verified correct answer and reference solution a reviewer can reproduce.
- Write grading rubrics and reference memos that score model responses on correctness, method, and reasoning; four tasks passed a four-stage review, one answered wrong in all 12 graded model responses.
- Built an automated test harness with Claude Code that runs candidate tasks against current models before submission, screening out tasks that are ambiguous or too easy.
Lipscomb UniversityDecember 2025 – Present
College of Computing Assistant- Built AI demonstration projects including a physical therapy pose estimation system and a message routing interface to teach AI concepts to diverse audiences.
ROX AnalyticsJan 2025 – October 2025
Business Intelligence Developer Intern- Built and maintained operational Power BI dashboards (Power Query, M-code, DAX) with advanced visualization techniques to track financial and service-line KPIs.
- Executed data integrity routines and SQL-based model testing on large healthcare datasets, troubleshooting sources and triaging BI support requests.
- Presented data-driven insights in client-facing reports and meetings, driving informed decision-making and adoption of analytics outputs.
Amplion, Clinical Communications, Inc.October 2022 – March 2023
Business Intelligence Intern- Developed four comprehensive reports using Power BI and Tableau, streamlining nursing data from multiple locations and reducing analysis time by 75%.
- Created interactive data visualization dashboards using JavaScript, HTML, and Plotly, improving stakeholder engagement and decision-making processes.
Education
Lipscomb UniversityM.S. - Applied Artificial Intelligence — Graduated August 2025 | GPA: 3.7
Lipscomb UniversityB.S. - Data Science — Graduated December 2022
Technical skills
Python & Machine LearningProficient in Python for data science, machine learning, and AI applications including predictive modeling, data analysis, and neural networks. Data Science & AnalyticsExperienced in statistical analysis, data visualization, and building predictive models for business insights and decision-making. Web DevelopmentBuilding responsive web applications and dashboards using modern frameworks and technologies.