• Built pipeline in AWS concurrently running tens of thousands of physics-based groundwater simulations and visualizing the results (AWS Lambda, S3, Python, pandas, Matplotlib, and Hydrus-1D)• Performed exploratory data analysis on structured and unstructured data (pandas, NumPy, Matplotlib)• Integrated and transformed data from multiple sources to standardized data formats• Built, ran, and improved various in-house models, e.g., simulations, regression, clustering, visualizations• Helped QA/QC data and model results, requiring attention to detail and understanding of first principles• Collaborated with colleagues from diverse professional backgrounds to understand requirements• Produced regular reporting, analysis, and presentations on findings both internally and for clients• Project Manager on complex $1.3 million Department of Energy grant project

• Extracted, cleaned, analyzed, and managed a variety of data types (e.g., Census data, transportation data, time series, demographics, passive/big data, geospatial (GIS) data, model output)• Microsimulation of connected vehicles, Bluetooth and mobile location vehicle location analysis• Presented/wrote technical reports analyzing data, visualizing results, and highlighting key takeaways • Performed CAD, permitting, modeling, and design work requiring adherence to regulations• Communicated with a diverse set of stakeholders including managers, clients, and public officials• Managed competing deadlines in a deliverable oriented environment

Performed transportation studies including intersection analysis, scoping/feasibility, traffic impacts, and estimating using Synchro and Estimator Performed geometric roadway design and drafting using MicroStation and InRoads Created location maps and environmental interest maps using ArcGIS Performed data analysis in Excel including reducing TMC and ATR data