Andrew Scribner Email & Phone Number

Ottawa, On, Ca

Working on Charmed Kubeflow, building an easy-to-deploy Kubeflow distribution for data scientists using Juju. Responsibilities include:- building software operators using Juju- designing and debugging systems deployed in Kubernetes- deploying and developing Kubeflow- integrating Kubeflow with serving, observavility, and other tools

Ottawa

Applying Machine Learning and Natural Language Processing (NLP) to classify data for the Consumer Price Index. Responsibilities include:- designing and implementing a classification system that leverages automation and a human-in-the-loop to balance productivity and accuracy- classifying datasets with a high number of classes (80+) and class imbalance to a hierarchical classification- building the data pipeline that supports classification- developing model evaluation metrics that represent analyst preferences- cleaning and vectorizing unstructured text data- training and comparing models (Support Vector Machines (SVM), Neural Networks, ...)- building automated reports for analysts and visualizing results with Matplotlib, Plotly, and other tools

Charlotte, North Carolina Area

- Planned and led cross-disciplinary projects using machine learning to interpret data and generate predictive models: for example, a model that quickly estimated the effect of design changes on product performance, thereby reducing the need for hours-long full-fidelity simulations to analyze each change- Designed physical and computational experiments to generate data and test hypotheses- Cleaned, mined, and visualized datasets to enable data-driven decision making- Performed multivariate (100+), multi-objective numerical optimizations to drive part design- Automated, integrated, and coded new product design software to boost designer productivity - Solved problems for product designers by communicating with them to understand their needs, developing a solution, building consensus around the solution, and driving adoption by supporting users as they learned the new software or method- Clearly communicated findings and their business importance to diverse audiences- Mentored students and new hires

Charlotte, North Carolina Area

- Performed aerodynamic design and analysis for gas turbine blades- Planned and managed experimental test programs with external partners, including designing the tests, working with manufacturers, choosing instrumentation, and supervising throughout- Setup and ran multidisciplinary optimizations- Analyzed test and analytical data to solve problems and make design decisions- Effectively documented findings through presentations and written reports

Master Of Applied Science, Aerospace Engineering

Specialized in gas turbine aerodynamics and performance. Thesis included an experimental investigation to improve calibration techniques.

Bachelor Of Engineering (B.Eng.), Aerospace Engineering

Data Science, Data Engineering, And Computer Science

Actively pursuing coursework in Data Science and Computer Science