Embedded Files
20% Discount for New Clients
Project: Public Risk Analysis Tool
Project: Public Risk Analysis Tool
Client: EGLE, Sate of Michigan
Client: EGLE, Sate of Michigan
Tools Utilized: Python, PowerBi, PowerQuery
Tools Utilized: Python, PowerBi, PowerQuery
Description:
Established a method to identify and prioritize >20,000 contamination sites based on proximity to schools, hospitals, and public wells, with an analytical dashboard for drill-down statistics
Description:
Established a method to identify and prioritize >20,000 contamination sites based on proximity to schools, hospitals, and public wells, with an analytical dashboard for drill-down statistics
Project: Volunteer Screener Tool
Project: Volunteer Screener Tool
Client: Confidential
Client: Confidential
Tools Utilized: Python
Tools Utilized: Python
Description:
Many 501(c)3 charities lack resources to pay for background checks on all volunteers due to the volume of volunteer churn. This client needed a tool that could parse public records and compare against their volunteer records for potential violent offenders. This tool was developed in python using natural language processing (NLP) and optical character recognition (OCR) techniques.
Description:
Many 501(c)3 charities lack resources to pay for background checks on all volunteers due to the volume of volunteer churn. This client needed a tool that could parse public records and compare against their volunteer records for potential violent offenders. This tool was developed in python using natural language processing (NLP) and optical character recognition (OCR) techniques.
Project: Interpolation Tool
Project: Interpolation Tool
Client: Academic Institution
Client: Academic Institution
Tools Utilized: Python
Tools Utilized: Python
Description:
Extracting measurement data from academic journals can be cumbersome due to manual point extraction. To simplify the process, an interpolation tool was created to minimize the manual point extractions required, while interpolating the remaining profile. This tool utilizes Scipy, Tkinter, pyinstaller, and pandas. This tool is available free here:
Description:
Extracting measurement data from academic journals can be cumbersome due to manual point extraction. To simplify the process, an interpolation tool was created to minimize the manual point extractions required, while interpolating the remaining profile. This tool utilizes Scipy, Tkinter, pyinstaller, and pandas. This tool is available free here:
Page updated
Google Sites
Report abuse