My methodology implements the CRISP-DM model for exploratory data analysis, cleaning, modeling, and evaluation.

I leverage machine learning models using Scikit-learn, Keras and Tensorflow to identify relationships between the features and a target variable. I perform statistical analysis via SciPy Stats to further make inferences on data. Other tools used include Python, NumPy, and Pandas. Visualizations created with MatPlotLib and Seaborn.