-Imported US Census Bureau flat files into SAS for manipulation and transformation into analytic datasets-Wrangled data from Epic Clarity EHR tables to generate descriptive statistics-Ran monthly reports on patient diagnoses for study inclusion criteria and on qualitative data metrics-Utilized the US Census API in R to fetch census tract and block group demographic data -Ran analyses published in peer-reviewed scientific journals by means of querying SQL databases to build datasets with samples greater than 10,000 using univariate and multivariate models -Leveraged the Google API to fetch travel times of points of interest and complete origin/destination matrices-Geocoded addresses using a national geolocator as a local file to maintain privacy and protect patient data -Developed choropleth maps using ArcGIS Pro of city of Dallas, Dallas county, and surrounding area to illustrate geographic distribution of entities such as health care facilities, food pantries, sources of carcinogenic agents, such as major roadways, pollution sites, metal recyclers, and oil and gas wells-Ran spatial analyses to calculate distances and densities, linked Census socioeconomic data with county, zip code, census tract and block group shapefiles to develop geographically referenced variables-Developed Python scripts to automate geospatial processes

-Collected quantitative and qualitative data through phone and face-to-face interviews at Parkland clinics-Assisted in the quality control and distribution of mailed colon cancer test kits to safety-net hospital patients-Recruited patients via phone calls from Parkland Hospital to participate in numerous UT Southwestern/Parkland Hospital studies to promote patient uptake of preventative health screenings-Developed flow charts, templates, and process models in Microsoft Visio-Created REDCap survey instruments to launch online surveys for numerous studies-Carried out mail merges for study recruitment mail outs via mail and email-Maintained tracking files of completed surveys and compensation to research study participants -Participated in Spanish language validation meetings to assess appropriateness of study materials for Spanish speaking patients-Created choropleth maps using ArcGIS Pro in peer-reviewed journal submission for visualization of cancer rates and trends

-Derived analytic datasets by compiling, processing, and linking publicly available environmental exposure data to study participant addresses for environmental health studies-Integrated GitLab into workflow as project tracking status and script versioning tool-Ran spatial analyses to curate environmental exposure variables for study participants

-Planned and coordinated research project meetings-Managed, updated, and produced study documents for study website-Gathered, organized, and stored publications related to study in shared network drive.-Presented study and center posters at annual forum-Worked closely with study principal investigator in tasks and projects such as annual progress reports and proposals-Assisted with producing PowerPoint presentations covering study updates and emerging research using study data-Attended monthly study work group meetings, attending to researchers’ concerns by ensuring smooth dissemination of study documents and data-Conducted routine online searches for publications that used this study data