JCS Analytics combines analytical discipline with a human focus. We take complex data in health, AI, and real-world contexts and turn it into insight that people can use.
This blend of precision and empathy defines who we are. It underpins how we analyze data, how we communicate, and how we support discussions about metabolic health and responsible AI.
What We Focus On
Data Analysis and Automation
We use Python, SQL, Jupyter Notebooks, and Tableau to create efficient workflows, eliminate manual steps, and produce clear, consistent analysis. This reflects the strengths of Python-based automation, reproducible workflows, and consistent logic.
Healthcare and Public Health Insight
Our work draws from cross-disciplinary education in data science, epidemiology, diabetes care, clinical reasoning, obesity treatment, and emerging therapeutics. Professional engagement with the American Diabetes Association further supports this perspective by connecting ongoing learning with diabetes care, research, education, and advocacy.
Responsible Use of Data and AI
Every project emphasizes privacy, transparency, data quality, fairness, human oversight, and accountability. AI supports reasoning; it never replaces it.
How We Work
Ethos
Tech Stack
We rely on a powerful yet flexible set of tools:
Dexcom Clarity makes CGM data easy to access for both individuals and medical professionals. We apply an analyst’s approach to extract and visualize CGM data, uncovering trends that offer deeper insight and support better understanding.
Disclaimer
Why Novo Nordisk Appears Frequently in My Work
Novo Nordisk provides more publicly accessible educational materials, media assets, and research updates than many other companies. Their open communication culture and partnerships with universities and public institutions create more opportunities for responsible analysis.
