Di Wang
978-***-**** adg5wt@r.postjobfree.com Boston, MA www.linkedin.com/in/Dwang97
EDUCATION
Boston University, Boston, MA Expected Jan 2021
Master of Arts in Remote Sensing & Geospatial Sciences Relevant Coursework:
• Advanced Topics in GIS • Aquatic Optics and Remote Sensing
• Multivariate Analysis for Geographers • Remote Sensing of the Atmosphere
• Advanced Topics in Remote Sensing • Atmospheric Chemistry and Global Change
• Data Science for Conservation Decisions • Information Structures with Python Central China Normal University, Wuhan, China June 2019 Bachelor of Natural Sciences in Geographical Information Science RELEVANT EXPERIENCE
Boston University, Boston, MA Sep – Dec 2019
Graduate research assistant for NASA MEaSUREs land cover mapping project
• Used Python tool to assist in identifying land cover of South America by spectral indices from imagery
• Performed time series analysis to find land cover information, change information and complications to determine land cover change on MEaSUREs Python tool, and analyzed segment type to predict change agent
• Interpreted land cover and land cover change in the spectral-temporal domain and developed a 20-year annual record of South America
Institute of Spatial Information Technology: Changjiang River Scientific Research Institute of Changjiang Water Resources Commission, Wuhan, China July – Oct 2018 Intern
• Interpreted geographical images of Bomi county visually through graphs and charts and maps
• Drawn the map spots on ArcGIS according to spectral differences and conducted the topology optimization for better effects
• Checked topology for the accuracy in accordance with the land use on Google Earth and spectral characteristic Central China Normal University, Wuhan, China March 2017 – April 2018 Undergraduate research assistant
• Verified the correlation by R between the average intensity of DMSP-OLS night-time light data and housing prices
• Analyzed a regression model of utilizing DMSP-OLS night-time light data to forecast Chinese housing prices PROJECTS
Boston University, Boston, MA March – May 2020
Data Science for Conservation Decisions
• Used QGIS to perform average threatened species richness varies in administrative regions across countries with Zonal statistics and visualized to world species richness map
• Used geopandas package in Python to choose Colombia to analyze species richness with different weights
• Utilized statsmodel package in Python to analyze how much of avoided carbon emissions with a fixed budget under different policy design choices.
Boston University, Boston, MA December 2019
Advanced Topics in GIS
• Manipulated DHS statistic dataset by R and GIS data to create the vector layer in ArcGIS. Performed hot spot analysis of HIV infection in Zambia and visualized raster layer to a map of HIV prevalence in each state and cluster.
• Analyzed spatial trends between HIV prevalence and impact factors by GWR analysis on ArcGIS platform Boston University, Boston, MA April 2020
Aquatic Optics and Remote Sensing
• Used SeaDAS to perform Kahru’s empirical algorithms to analyze ocean Chlorophyll-a concentration by MODIS Aqua data
• Evaluated the role of Chlorophyll-a concentration change from 2010 to 2015 illustrated “The Blob” phenomenon in the West Coast of North America
SKILLS
• Programming: R, Python, SQL, C#
• Software: ArcGIS, QGIS, ENVI, SeaDAS, Google Earth Engine