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1. Identifying whether an employee will leave the company based on an employee's attributes. I used ML algorithms such as Random Forest, Logistic Regression, Naive Bayes, and LightGBM

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2. I placed top 16% in the world on Kaggle in this competition. I used keras and tensorflow for deep learning and several ensembles with least correlated estimates to optimize for accuracy.

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3. Given a breast tumor's attributes, I used several machine learning models to predict whether if the tumor is malignant or benign

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4. I used Random Forest to predict a house prices given the house's attributes

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