Paul Gerlach Email & Phone Number

Remote

Remote

❖ Developed machine learning models to predict endangered species habitat (random forest) and stream presence and navigability (logistic regression) using R statistical software and GIS data. Used the glmnet package within R to apply elastic net regularization to avoid overfitting. Prepared and delivered an hour-long presentation on these modeling approaches to a non-technical audience.❖ Developed an innovative map-based application within the R Shiny package to assist clients in planning for the growth of electric vehicle use and increased charging demand based on demographic factors.❖ Developed a Python tool to automate much of the process of estimating impacts to environmental resources resulting from transportation projects.❖ Developed an interactive Microsoft Access database to streamline the process of environmental field data collection. Wrote VBA scripts for the database that automatically calculate metrics and generate reports.❖ Created a raster-based GIS model for a mid-sized city to estimate bicycle demand and assist in the process of planning future bicycle infrastructure throughout the city for a recently published bicycle master plan.❖ Develop Python scripts and tools to automate geospatial analysis and processes.

Master Of Science - Ms, Analytics

Master Of Environmental Management & Certificate Of Geospatial Analysis

Bachelor Of Science - Bs, Biology