Lindsey May Email and Phone Number

- Migrated data science model feature inputs from a soon-to-be-decommissioned source by choosing a new source, rebuilding features, mitigating gaps between the sources, and communicating model impacts to stakeholders - Created resilient features using Pyspark for a new data science model with complex data in an environment with changing business priorities, implemented features in the data pipeline for model deployment with unit tests - Built and evaluated payment prediction models using lift charts, Somers’ D, score distributions, and other metrics to determine the best payment window to use for the model output that balances business needs and model predictions

- Managed team of 6-8 undergraduate machining mentors on shift and up to 10 clients - Provided machining advice and direction while ensuring safety of all mentors and clients during the machining process - Created and executed a multi-level training program for audiences ranging from students completely new to machining to skilled undergraduate mentors - Delivered solutions for shop and process improvements to streamline workflow for clients and mentors - Performed machine maintenance

- Explored large customer dataset from the chat bot Eno to determine factors affecting Eno use versus call center use using Python and SQL; found several important trends that now drive further research and analytics to improve Eno - Performed feature analysis for machine learning model of Eno suggested replies; new feature found and verified through training the model with various subsets of data and feature lists; feature adds 5% accuracy overall - Modified machine learning training script to output desired detailed information for testing features and datasets

- Investigated factors affecting grinding of 800℉ jet engine blades with an ABB industrial robot to optimize a new automation solution and recommended results to factory integrator based on data gathered - Pioneered study of a Cognex 3D laser profiler for part inspection to discover potential uses and limitations

- Converted a LABVIEW FPGA program to Verilog to integrate experiment control with data collection - Automated brain injury detection process by depositing protein on resonators using LABVIEW machine vision functions based on a camera feed from the mechanical deposition system - Explored vibrational properties of objects with two materials printed using additive manufacturing techniques

- Designed a data-driven, robust system to refine steam turbine outage recommendations with Python; system implemented and delivers over $9 million to GE customers annually - Formulated a modular, semi-automated VBA script to visualize data with evolving properties - Analyzed steam turbine thermal fleet data and improved the accuracy of mathematical models of turbine start-up temperatures to predict the performance of the largest turbine blade in industry

- Consulted with students and clients for manufacturing and CAM advice to complete desired products - Ensured proper and safe usage of machines, tools, and software used by students and clients

- Designed a machinable nozzle for a fire suppression system to reduce cost from parts and assembly error - Implemented changes during assembly of a tractor by working as a liaison between designers and assemblers - Reinvented Finite Element Analysis tutorial to emphasize concept comprehension and clarity

- Learned and utilized data mining techniques to create a model predicting water consumption based on weather patterns - Collaborated with a team of four interns to consolidate bank data and document changes made