Maternal and Child Health Monitoring in LMICs

Objective: Estimate 6 key indicators of health status in low income countries using numeric features derived from satellite imagery

  1. Trained a Boosting on Error ensemble to predict 4 level residuals using Random Forest & XGBoost, with MCRMSE of 10.759
  2. Utilized Dask package on an 8GB dataset for EDA, finally using RF.feature_importances_ parameter to perform feature selection
  3. Secured 1st position out of 30 participating teams in a Kaggle competition conducted by the lab as part of the internship program