Self-motivated Data Analyst offering many years of leadership experience across various industries. Methodical with significant experience in data mining, statistical analysis, and applying machine learning algorithms to create and enhance solutions. Excellent problem-solver with history automating processes and driving operational enhancements.
Classification project predicting Alcoholism in R, I used a wide range of health parameters to predict whether someone suffered from alcoholism. I created many ML models using random forests, ANN’s, k-nearest neighbors, gradient boosted trees, logistic regression, and more. Additionally, I implemented k-fold cross validation to validate each of those models achieving a greatest accuracy of 86%.