PALLAVI

Eradicated gender bias from all stages of machine learning pipeline (pre-processing, in-processing, and post-processing) with improved AdaBoost classification accuracy by implementing reweighing algorithm from AI Fairness 360 toolkit for customer's credibility prediction based on their credit card details... Published a storyboard on RPubs with plotted visualizations from eight open-source data sets that narrates a story and identifies the main factor responsible for population growth in Australia by interpretation of yearly birth rate, death rate, fertility rate, age distribution, etc... ML models to predict whether a person is likely to experience a stroke or not based on various factors(age, marriage, hypertension, smoker, etc.). Applied appropriate feature selection, model fitting, and hyperparameter fine-tuning to identify the best predictive model for model comparison

Also known as: Pallavi Bhimte