Derek Jedamski

Project experience: Regression modeling (including implementation), classification (Boosting, SVM, RandomForest, MLP, etc.), natural language processing, statistical analysis, quality control, business analytics, market research, project management, version control (git), and communicating technical results to senior non-technical audiences Modeling experience: Regression (logistic, multivariate, quantile, etc), ensemble methods (Boosting, Random Forest, etc), classifiers (MLP, SVM, etc), clustering, regularization methods (ridge regression, Lasso, elastic net, etc), decision trees, dimensionality reduction (PCA, LDA, MCA, etc). Computing experience: Python, R, SQL, Scala, SAS (Certified Advanced Programmer for SAS 9), AWS, Apache Spark, Hadoop