Data Engineer

Education

M.S. Data Science University of Virginia GPA: 3.88/4.00

JULY 2020 – MAY 2021

B.S. Industrial Engineering, Minor in Business Administration Clemson University

AUGUST 2013 – MAY 2017

Programming Languages and Certifications

Python, R, SQL, VBA/ Excel, Pandas, PyMC3, Numpy, Seaborn, Six Sigma Green Belt Certified, MTM-1 Certification

Work Experience

Data Operations Specialist 2 University of Virginia Center for Diabetes Technology

APRIL 2019 – July 2020

●Managed and organized data collection team for 20+ clinical trials using the artificial pancreas, smart insulin pens, insulin pumps, fitness tracking devices, and other data collection tools to further the center’s research goals and improve lives of those living with Type 1 Diabetes

●Led cleaning and standardization of all data sets for center’s internal clinical trials and research studies to create standardized big data sets for analysis and archiving

●Generated and improved upon 10+ VBA and Python tools to improve the efficiency and accuracy of data processing and cleaning from local and AWS

Industrial Engineer Syncreon Automotive

JUNE 2017 – APRIL 2019

●Developed forecasting model to calculate required to run manpower for 2018-2020 operations and financial planning using Excel, VBA, and Crystal Reports software

●Planned layouts, work cell design, packing process, construction schedule, and construction team coordination with collaborative team to achieve $3 Million launch of 350,000 square-foot facility

●Provided leadership for project team of 4 engineers for the MTM time study and site plan production of 2 logistics facilities totaling 700,000 square feet

●Created, launched, and implemented data collection system to maintain Microsoft Access Databases to track facility functions including human resources, packaging material, production, and manpower

Relevant Projects

Applying Data Science to Search & Rescue Capstone, University of Virginia

AUGUST 2020 – PRESENT

●Develop a model to assist future search and rescue efforts by predicting likelihood of survival of lost individuals for state department and law enforcement agencies

●Clean and correct discrepancies in data set of 76,000 records with 50 predictors of lost persons searches to enable data standardization

●Obtain hourly weather data including temperature, precipitation, and wind speeds over the course of each lost person’s event using NOAA API to improve accuracy of model predictions

Evaluation of Uncertainty of Credit Card Default DS 6014, University of Virginia

AUGUST 2020 – DECEMBER 2020

●Analyzed dataset containing demographic information, credit history, payment history, and bill statements of 30,000 credit card clients in Taiwan to create model to predict likelihood of default payment

●Evaluated the uncertainty of predictions and the roles of model predictors using Bayesian logistic regression

●Estimated posterior probabilities using variational inference to understand the uncertainty of each prediction and the impact of each predictor on default payment

Schneider Electric Project Coordinator Senior Capstone, Clemson University

DECEMBER 2016 – MAY 2017

●Improved wiring manufacturing process by 10% by identifying value-added and nonvalue-added processes and implementing new ergonomic and time-saving tools

●Led communication and team coordination between Schneider Electric Engineering team and Clemson University student team

Leadership

Vice President Data Science Graduate Student Council

●Represent 80 MSDS students to promote student needs and improve the student experience for current and future cohorts and assist administration with outreach to future students

Judge University of Virginia University Judiciary Committee

●Serve as one of 27 representatives during University Judiciary Committee trials to promote a community of respect, safety, and freedom at the University of Virginia

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