Philip Orlando
Data Consultant
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolPhilip Orlando is a data-focused environmental scientist and consultant with eight years of experience applying R, Python, and GIS to air quality research and operational data work. Currently a Data Consultant at Kaiser Permanente, he brings a research-driven approach from graduate work at Portland State University where he designed mobile monitoring platforms and calibrated sensors against federal reference methods. His hands-on background spans aethalometers, particle counters, reactive nitrogen sampling, and microcontroller-based environmental sensing, enabling robust source apportionment and hotspot mapping. Philip pairs field expertise with reproducible analytical workflows, having used PMF, ISORROPIA II, and custom Python/R scripts to translate complex pollutant datasets into actionable insights. Based in Portland, he blends academic rigor with practical deployment experience—often uncovering high-order spatial variability in urban diesel and construction-related emissions. Colleagues rely on him for bridging instrumentation, data engineering, and clear visualization to inform mitigation and policy decisions.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Environmental Science, Master of Science - MS, Environmental Science at Portland State University
Github Skills (200)
interoperability10
python10
network-analysis10
metadata10
pandas-dataframe10
cffi10
arcpy10
resolver10
postgresql-extension10
data-cleaning10
h310
spatial10
schema10
osgeo10
data-validation10
Programming languages (12)
Github contributions (5)
philiporlando/purpleair_thingspeak
May 2018 - Apr 2019
Contributions:63 commits, 56 pushes in 11 months
philiporlando/mf-minedudes-ip-bot
Aug 2022 - Sep 2024
Contributions:1 release, 26 pushes, 1 branch in 2 years 1 month
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