Gis Analyst Level Data

Zoet Resume *

Zachary Alan Zoet, M.S.

*************@*****.***

Cell: 507-***-****

LinkedIn: https://www.linkedin.com/in/zacharyalanzoet Portfolio: https://zacharyzoetms.blogspot.com

Professional Summary:

GIS Analyst with experience in qualitative and quantitative analysis, data management, ArcGIS, SPSS, Microsoft Excel, and Tableau. During the past four years as a PhD student I have conducted in-depth research focused on modeling hazards and vulnerability related to inundation in Thailand with ArcGIS Pro, taught sections of approximately 30 students GIS with ArcMap10.8, and taught lectures in both regional and economic geography. I have acquired a wide variety of skills in statistical analytics, strategic planning methods, and time management. I push myself to learn new subjects and talents to achieve aspirational goals, such as Tableau and programing languages as necessary. I love teaching and leading. I am an enthusiastic team member who can coordinate activities and encourage others to perform at their best.

Skills

● Programming Languages: Java, Python, HTML

● Operating Systems: Windows, Mac iOS

● Databases: Build geodatabases, search/query tabular data, export feature predictions to validate with existing data

● Tools: ArcGIS, SPSS, Tableau, Google Earth Engine, ERDAS Imagine, remote sensing, imagery

● Team/Interpersonal Skills: Collaboration, building relationships, decision making, problem-solving

● Certifications: Graduate Certificate in Geographic Information Science, Graduate Certificate in Public Health

● Analytical: Critical thinking, statistical analysis

● Technical: Correlational analysis, machine learning regression, ANOVA, multivariate analysis, forest-based regression, image classification, suitability analysis, land cover change detection, geospatial analysis

● Personality profile: Problem solver, teacher, team player, innovative, manager, mentor Project Experience Project 1: Construct Tool for Crime Analysis with ArcPy (Python module for ArcMap 10.3) Fall Semester 2015

Minnesota State University, Mankato

Semester Project

Technologies included: ArcPy, ArcMap 10.3

● Developed a novel parameterized geoprocessing tool with Python scripting that combined functionality of three distinct geoprocessing tools with the Moran’s I test of spatial distribution

● This tool was trained on parameters for types of crime occurring locally, categorized into nominal data types.

● After loading crime data, this tool would automatically display a heat map, test for spatial clustering, calculate a standard distance ring around the locations of crimes, and locate the mean center of those criminal events. Project 2: Identification of Explanatory Variables Germane to Attack Intensity on US Embassies in the MENA Region Spring Semester 2016

Minnesota State University, Mankato

Master’s Degree Project

Technologies included: ArcMap 10.3, IBM SPSS

● Building upon qualitative information provided by the US Department of State, I developed a model that predicted attack intensity on US Embassies in the Middle East and North Africa region with multiple regression analysis (Exploratory Regression tool in ArcMap 10.3).

● The result was an attack intensity index that ranged from 1 – 5, where 1 indicates mild attack intensity and 5 indicates extremely violent attack intensity.

● This research resulted in a publication in Applied Geography available at https://doi.org/10.1016/j.apgeog.2017.03.005 Project 3: Testing for Correlation between Land Surface Temperature and Urban Land Cover with Bivariate Regression Fall Semester 2021

Northern Illinois University

Semester Project

Technologies included: ArcMap 10.7, IBM SPSS

● The phenomenon known as the Urban Heat Island was considered in eight cities in Thailand with binomial regression

● Land surface temperatures were calculated from satellite imagery and tested against different types of land cover

● Findings were mixed, but generally binomial regression successfully predicted urban heat islands more frequently than not. Project 4: Modeling Inundation Susceptibility with Frequency Ratio Methodology Fall Semester 2022

Northern Illinois University

Dissertation Component I

Technologies included: ArcGIS Pro 2.8, IBM SPSS, Microsoft Excel

● Inundation susceptibility was modeled for the entire country of Thailand using an ensemble methodology called the Frequency Ratio Method (FRM)

● The model was validated with the Receiver Operating Characteristic-Area Under the Curve (ROC-AUC) Technique.

● The model was found to have a predictive accuracy of approximately 87%, sufficient for inundation planning and response. Project 5: Estimating Risk to Dengue Fever with Random Forest Methodology Fall Semester 2022

Northern Illinois University

Dissertation Component II

Technologies included: ArcGIS Pro, Microsoft Excel

● Fine-scale model of risk to exposure to dengue fever was created from province-level incidence for the entire country of Thailand calculated from province-level data of monthly dengue fever case notifications from the 2003 – 2020 time frame.

● Random forest was used to downscale the province-level data to only urban areas, the preferred habitat of the primary vector of dengue fever (Aedes aegypti mosquito).

● The fine-scale model (1km2 grid) was generated using raster processing techniques and the variable importance values as determined by the random forest algorithm.

● Depending on the month, R2 suggests that the model accounted for approximately 90% of the variables that contribute to dengue fever in any province in Thailand; normalized RMSE values supported this finding, as well. Project 6: Assessing Thai’s Social Vulnerability to Climate Change with Fuzzy Logic Methodology Fall Semester 2022

Northern Illinois University

Dissertation Component III

● A study of Thailand’s vulnerability to climate change considered three different domains of vulnerability with the Social-Ecological-Technological systems (SETs) approach

● The SETS approach was deployed with fuzzy logic techniques of fuzzy membership and fuzzy overly to assess probabilities that vulnerability could be experienced at the sub-district level of analysis

● GeoDa was deployed to learn about local spatial autocorrelation of S, E, and T domains of vulnerability in Thailand’s sub-districts based on the Moran’s I statistic.

Work Experience: Graduate Teaching Assistant August 2019 – Present

Northern Illinois University

20 hour weekly commitment divided between two (2) aspects of work for the Department of Earth, Atmosphere, and Environment.

● Mentored and assisted 40 students in ArcGIS, lectured and taught sections of between 30 and 60 students in GEOG202: World Regional Geography and GEOG204: Economic Activities in Geography.

● Responsible for instructing sections of sophomore-level geography classes as lecturer.

● Lead laboratory components of multiple sections of GIS courses i.e. GEOG361: Geographic Measurement and Quantitative Analysis; GEOG356/557: Introduction to GIS; GEOG459/559: Geographic Information Systems

● Duties included proof reading laboratory instructions for content and clarity.

● Prepared assignment sheets for distribution via web-server.

● Provided office hours to students for attention to their class questions and consultation.

● Additionally, assisted the Geospatial Visualization Lab.

● Georeferenced aerial imagery and drawings, added attributes to features, converted rasters and information to shapefiles. Teaching Assistant August 2014 – May 2016

Minnesota State University, Mankato

Emphasized prioritization of grading students’ work.

● Graded all assignments which include laboratory exercises, expository essays and other written assignments.

● Corresponded with supervising professor in a timely, efficient manner and associated colleagues. Managed correspondence between professor and students.

● Georeferenced aerial imagery and drawings, added attributes to features, converted rasters and information to shapefiles. Geographic Information Systems Experience: Internship September 2015 – May 2016

U.S. Department of State Virtual Student Foreign Service USAID/Central Asia Mission

● Utilized ESRI ArcMap 10.2 during a nine-month commitment to support the United States Government’s virtual, collaborative interagency effort to improve cross border trade in Central and South Asia.

● Targeted analysis of geopolitical and economic trends and interventions.

● Concentration included epidemiological geography and educational programming analyses and mapping data pertaining to Tajikistan and Uzbekistan at the district and oblast levels. Volunteer OpenStreetMap Technician February 2016

American Association of Geographers

● Assisted the collective effort to conduct the three-day “Mapathon” mapping project during 2016 AAG conference.

● Addressed needs of three humanitarian projects in areas of Secondary Cities and Urban Resilience, Disaster Preparedness and Response, and Health and Infectious Disease.

● Digitize and label infrastructure, roads, and buildings. Volunteer GIS Field Technician June 2016

Minnesota Department of Natural Resources

● Collect locations of Small White Lady Slipper Orchids with Garmin 76csx GPS receiver in Chippewa, Kandiyohi, and Swift counties in Minnesota, USA.

● Assist MNDNR botanist.

● Download data from GPS receiver and export data to shape-file with ESRI ArcMap 10.2, deliver shape-file to MNDNR Botanist via email.

Volunteer Consultant May 2015 – October 2015

Calvary Cemetery Board

● Utilize ESRI ArcMap 10.2 to produce a large digital map of a cemetery updated from historical records and antiquated map sketch.

● Required manually digitizing hundreds of regularly shaped, identical plats of vector data over base-map raster imagery.

● Produced and managed a complex table of names and interment status of each plat in cemetery. Leadership, Honors, and Awards:

● Guided more than 100 fellow classmates and explored professional interests as an executive board member for many recognized student organizations at three different institutions of higher learning from 2011 – 2023.

● Inducted member of six academic honor societies, and actively participated in raising more than $8,500 for local charities and scholarship distributions.

● Oversaw the distribution of not less than $200,000 in combined budgetary spending between 2010 and 2016.

● Recipient of not less than $20,000 in funding and awards granted for research and scholarly excellence between 2011 - 2022 Education: Northern Illinois University Aug 2019 – May 2023

Doctor of Philosophy in Geography

Graduate Certificate in Public Health

Cognate Foci:

Public Health and Health Education

Southeast Asian Studies

● Foreign Language and Area Studies (FLAS) Fellow 2020 - 2021

● Southeast Asian Summer Studies Institute (Burmese) 2020 Minnesota State University, Mankato

Master of Science in Geography Aug 2014 – May 2016 Graduate Certificate in Geographic Information Science

● Dean’s List

● GPA 3.91/4.00

Bachelor of Arts in International Relations Aug 2011 – May 2014 Psychology Minor

● Summa Cum Laude

● GPA 3.87/4.00

South Central College May 2009 - May 2011

Associate of Arts

● Highest Honors

● GPA 3.90/4.00

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