The goal of this project is to build regression models to predict the occurrence of cancer and liver disease using the National Health and Nutrition Examination Survey (NHANES) data.

Comprehensive data mining project that demonstrates data preprocessing, exploratory data analysis (EDA), and basic hypothesis testing using the National Health and Nutrition Examination Survey (NHANES) 2017-2018 dataset.

Implementation of segmented regression to model spirometry measures with Exploratoory Data Analysis EDA, feature engineering for clinical data interpretation.

Analyzing diabetes testing rates in U.S. adults using NHANES (2021–2023) data

Predicting Diabetes Risk from Lifestyle, Nutrition, and Socioeconomic Factors with Explainable Machine Learning on NHANES.