Andrew Vinson
Data Scientist at Evernorth- Claim this Profile
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English Native or bilingual proficiency
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Latin Limited working proficiency
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Dutch Limited working proficiency
Topline Score
Bio
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Credentials
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Geographic Information Systems Professional (GISP)
GIS Certification Institute (GISCI)Jun, 2017- Sep, 2024
Experience
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Evernorth
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United States
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Real Estate
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1 - 100 Employee
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Data Scientist
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Oct 2022 - Present
MLOps + Geospatial Data Science Team Social Determinants of Health Model Bias Feature Template Store MLOps + Geospatial Data Science Team Social Determinants of Health Model Bias Feature Template Store
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NYC Department of Finance
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United States
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Government Administration
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500 - 600 Employee
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Senior Modeler
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Dec 2021 - Oct 2022
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Data Scientist/GIS Analyst
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May 2019 - Dec 2021
Property Modeling and ResearchUtilized spatial and aspatial econometric models to assess market values for 1-3 family homes, office buildings, coops, condos, and large apartment buildings citywide with a total value of over $800 billion in NYC using R, SAS, Python, and SQL.Coordinated and facilitated property value model development and sales database cleaning with key officials in the Property Modeling GroupConducted complex analyses of valuation model impacts, market value drivers, and trends in sales and income.
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NYU Langone Health
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United States
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Hospitals and Health Care
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700 & Above Employee
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Senior Data Analyst
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Feb 2016 - May 2019
Academic data science/spatial epidemiology research and data visualization/analytics for the NYU School of Medicine's Departments of Emergency Medicine and Population Health. Primarily data cleaning, statistical analytics and visualization (graphs and maps) of the large NYS SPARCS database of Emergency Room visits from 2008-2016 using SQL, R, Python, Excel, Tableau, and Stata. Mapped 150 million+ addresses with ArcGIS, Python and R; regularly queries SPARCS inpatient hospitalizations and ER visits for ICD-9/ICD-10 diagnosis codes, procedure codes, and patient demographics from ED visits in SQL and Python(pandas) Specializes in computational spatial statistics using R and Python (pandas,pysal,geopandas,scipy,scikit-learn) . Not limited to spatial empirical Bayesian smoothing, spatial regression, hotspot analysis, and geographically weighted regression analysis. Conducts modeling with multiple linear regression, multilevel regression, and logistic regression using R, Python, and Stata Have worked on analysis dealing with disaster medicine, diabetes, opioid ED visits, urban and rural health outcomes.
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City of Norfolk, VA
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United States
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Government Administration
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700 & Above Employee
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Gis Technician
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Dec 2013 - Feb 2016
Conducted data analysis on land values (using SQL, MS Access, & Pandas Python module) and researched deed and mortgage issues involving tax delinquent parcels for the City of Norfolk Treasurer. Provided mapping, research, and logistical support for consulting projects requiring City of Norfolk Computer Assisted Mass Appraisal (CAMA) data and produced high quality cartographic materials for City of Norfolk Conducted data analysis on land values (using SQL, MS Access, & Pandas Python module) and researched deed and mortgage issues involving tax delinquent parcels for the City of Norfolk Treasurer. Provided mapping, research, and logistical support for consulting projects requiring City of Norfolk Computer Assisted Mass Appraisal (CAMA) data and produced high quality cartographic materials for City of Norfolk
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Pennyrile Area Development District
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United States
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Government Relations Services
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1 - 100 Employee
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GIS Intern
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Oct 2013 - Dec 2013
Analyzed and mapped census data for environmental justice studies for KyDOT Highway proposals Collected the GPS locations of water utility sites for rural Kentucky municipalities Analyzed and mapped census data for environmental justice studies for KyDOT Highway proposals Collected the GPS locations of water utility sites for rural Kentucky municipalities
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The University of Alabama
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Higher Education
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700 & Above Employee
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Graduate Research Assistant
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Aug 2010 - Aug 2013
Collaborated with several Alabama Regional Planning Commissions perform on quality control, data cleaning, and data management for the GPS collection of municipal utility data for rural Alabama Performed ad hoc data analysis and visualization for university professors, staff, and community stakeholders Collaborated with several Alabama Regional Planning Commissions perform on quality control, data cleaning, and data management for the GPS collection of municipal utility data for rural Alabama Performed ad hoc data analysis and visualization for university professors, staff, and community stakeholders
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Education
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University of Alabama
Master's Degree, Geography -
University of Tennessee, Knoxville
Bachelor's of Arts, Geography