bc center for disease control
modeled indoor/outdoor temperature relationships, built data pipelines, created spatial maps, and conducted heat vulnerability research (january 2022 - april 2022, full-time)
Work
temperature time-series modeling
modeled the relationship between indoor and outdoor temperatures using time-series models in r and python
rpythontime-series analysis
thermostat data cleaning pipeline
built a data cleaning pipeline to standardize inputs from multiple electronic thermostats
rpythondata pipeline design
bc spatial temperature map
created a spatial temperature map of british columbia by aggregating and interpolating weather tower data, incorporating elevation data to increase accuracy
rpythongeospatial analysis
hourly temperature trend analysis
analyzed temperature trends on an hourly basis to capture short-term heat buildup dynamics within homes, focusing on periods when hvac systems were off to assess passive heat retention in lower-income housing units
rpythontime-series analysis
heat vulnerability research
conducted exploratory research into the link between high indoor temperatures and heat-related deaths, including interviews with local researchers on how heatwave-related deaths disproportionately affect low-income residents in social housing
rpythonstakeholder communication
r shiny interactive map
built a web app for internal use featuring an interactive map with filters to explore regional data variations
rr shiny
weekly progress presentations
designed weekly presentations to inform the team of progress and findings
stakeholder communication