Clinical Biostatistics & Pharmaceutical Data Analytics

Pharmacy graduate specializing in clinical biostatistics, predictive modeling, and structured health data analysis. Focused on statistically rigorous and interpretable methods applicable to clinical trials and population health research.

• 27,900 Records Analyzed       • Accuracy 84.7%            • AUC 0.92

Student Depression Risk Modeling using GLM & LASSO

Applied generalized linear models and LASSO regularization to identify key risk factors for depression among university students. The study analyzed survey data from 27,900 respondents, achieving robust predictive performance while maintaining model interpretability for clinical stakeholders.

R
GLM
LASSO
ROC
Interpretability
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