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Hello! I’m Jonathan Levi, a clinician-turned-data scientist with a passion for turning medical data into actionable insights. I bring an MD and a strong foundation in mathematics, statistics, and machine learning to build predictive models that inform care delivery and improve patient outcomes. Over more than two decades in clinical practice and health analytics, I’ve honed my ability to derive actionable insights from complex datasets using Python, SQL, and advanced data visualization. I thrive in cross-functional teams, bridging medicine and engineering to deploy AI-driven solutions that healthcare organizations can trust and scale.…Hello! I’m Jonathan Levi, a clinician-turned-data scientist with a passion for turning medical data into actionable insights. I bring an MD and a strong foundation in mathematics, statistics, and machine learning to build predictive models that inform care delivery and improve patient outcomes. Over more than two decades in clinical practice and health analytics, I’ve honed my ability to derive actionable insights from complex datasets using Python, SQL, and advanced data visualization. I thrive in cross-functional teams, bridging medicine and engineering to deploy AI-driven solutions that healthcare organizations can trust and scale.

JONATHAN LEVI, MD

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Hello! I’m Jonathan Levi, a clinician-turned-data scientist with a passion for turning medical data into actionable insights. I bring an MD and a strong foundation in mathematics, statistics, and machine learning to build predictive models that inform care delivery and improve patient outcomes. Over more than two decades in clinical practice and health analytics, I’ve honed my ability to derive actionable insights from complex datasets using Python, SQL, and advanced data visualization. I thrive in cross-functional teams, bridging medicine and engineering to deploy AI-driven solutions that healthcare organizations can trust and scale.…Hello! I’m Jonathan Levi, a clinician-turned-data scientist with a passion for turning medical data into actionable insights. I bring an MD and a strong foundation in mathematics, statistics, and machine learning to build predictive models that inform care delivery and improve patient outcomes. Over more than two decades in clinical practice and health analytics, I’ve honed my ability to derive actionable insights from complex datasets using Python, SQL, and advanced data visualization. I thrive in cross-functional teams, bridging medicine and engineering to deploy AI-driven solutions that healthcare organizations can trust and scale.

Available to hire

Hello! I’m Jonathan Levi, a clinician-turned-data scientist with a passion for turning medical data into actionable insights. I bring an MD and a strong foundation in mathematics, statistics, and machine learning to build predictive models that inform care delivery and improve patient outcomes.

Over more than two decades in clinical practice and health analytics, I’ve honed my ability to derive actionable insights from complex datasets using Python, SQL, and advanced data visualization. I thrive in cross-functional teams, bridging medicine and engineering to deploy AI-driven solutions that healthcare organizations can trust and scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Scientist | Software & Technical Consultant at FREELANCE

May 1, 2021 - Present

Engineered scalable machine learning models for predictive analysis of scientific and transportation data. Automated data pipelines for preprocessing and transformation of large, heterogeneous datasets. Modernized legacy systems by reducing redundancy, improving computational efficiency by 40%. Developed interactive dashboards using Python (Matplotlib, Plotly) to present insights to technical and non-technical stakeholders. Applied anomaly detection techniques to identify early indicators of disease from healthcare datasets.

Physician | Medical Data Analyst

June 1, 1983 - May 1, 2021

Conducted advanced statistical analyses of large patient cohorts to uncover predictive markers for cardiovascular disease. Leveraged machine learning to improve early diagnosis accuracy in clinical settings. Built custom Python tools for automating electronic health record (EHR) extraction and transformation. Championed AI adoption in diagnostics through integration of medical imaging and deep learning. Led cross-functional clinical research teams focused on applying data science to public health outcomes.