Hire Nevin M. - Data Scientist

Lead a full-time project-based data science program that covered a suite of data science tools including Python, Google Colab, SQL, Google BigQuery, and Github. - Using hands-on instruction and real-life examples, taught students a wide range of common data science topics such as Naive Bayes, regression techniques (linear and logistic regression with regularization), tree-based methods (random forests, XGBoost), clustering (k-means, DBSCAN), natural language processing and neural networks. - Oversaw and consulted on data science capstone projects in application areas such as finance, education, and environmental science. Assisted students in scoping projects, developing project timelines and deliverables, choosing/implementing appropriate classification/regression methodologies, performing model validation, and interpreting and communicating the results. - Developed materials for and taught a Data Science for Business Leaders course aimed at helping leaders define, plan, and assess enterprise-level data science projects.

Statistical consultant for a wide range of projects that include work in uncertainty quantification (UQ), design and analysis of computer experiments, machine learning, statistical programming, functional data analysis and data visualization. Experienced in R and Python.