Your Name

Research Data Analyst & Quantitative Researcher

Specializing in predictive modeling, statistical inference, and translating complex observational datasets into actionable scientific insights.

Contact Me GitHub

Technical Expertise

R & Tidyverse Python (Pandas, Scikit-Learn) Predictive Modeling (XGBoost) Time-Series & Forecasting Bayesian Optimization Data Extraction & Meta-Analysis

Featured Research Projects

Physics-Informed Machine Learning Framework

Completed

Integrated lumped-capacitance differential equations with gradient-boosted regression to predict thermal protection decay in cold-chain logistics.

R XGBoost SHAP
Read Case Study

Systematic Evidence Extraction & Meta-Analysis

Publication

Synthesized observational cohort data across clinical studies using odds-ratio mapping, forest plots, and quality assessment protocols.

Biostatistics Meta-Regression
View Publication