I am a 24 year old graduate from University of Waterloo in the Faculty of Environment with four years of work experience in my field, specializing in GIS, remote sensing and software development. Outside of work and school, I enjoy practicing saxophone and composing music, as well as setting up jam sessions with fellow jazz musicians. On top of playing cool jazz, I enjoy partaking in hackathons, creating small but useful side projects.
Java • 8 years experience
Linux • 7 years experience
Python • 6 years experience
VB.NET • 5 years experience
Knowledgeable with other GIS software (ArcGIS Online, QGIS, GRASS, GDAL, PostGIS, Geomatica)
Familiar with web development, MySQL, and Android app development
Bachelor of Environmental Studies; Honours Geography and Environmental Management, Geomatics option • April 2018
Graduated from the Faculty of Environment's Honours Geography and Environmental Management program with co-op and the Geomatics option. Achieved a rating of Excellent at all placements, and completed undergrad with an optional senior honours thesis under the supervision of Dr. Derek T. Robinson focusing on agent-based modeling.
Earth Observations Platform Developer • October 2018 - Present
Developing and contributing to the S1TBX team for the European Space Agency's open source remote sensing tool SNAP, and leveraging the image processing libraries in SNAP to improve image quality on the SkyWatch EarthCache platform through microservices on AWS.
Cartographic Reference Assistant • May 2015 - April 2018
Worked part-time at the front desk of the Geospatial Center at Waterloo's Dana Porter Library during study terms. I provided assistance to patrons by solving GIS issues in multiple software platforms, finding geospatial data for their projects, as well as locating and scanning airphotos and maps. In addition to assisting patrons, I also assisted the center by developing GIS tools and applications such as automatic airphoto tile management tools, census formatting tools, and the creation of many software tutorial packages.
Geomatics Technician • September 2017 - December 2017
Worked under the supervision of Bahram Daneshfar to produce a crop forecasting model using Markov chains. In testing, the software was able to predict what crops were going to be grown next year with up to 70% accuracy in some cases. I produced extensive documentation for future end users and developers of the software product to ensure that the tool can be maintained in the future. Additionally, I repaired production scripts and replaced sections using Arcpy with equivalent GDAL functions and deployed the new open source GIS scripts into production, and repaired the historical faulty outputs from the production code.
Geomatics Technician • May 2016 - August 2016
Assessed four methods of point interpolation (Thin Splines, Natural Neighbours, Kriging, and IDW) on precipitation and heat unit data obtained from weather stations across Canada to assess which interpolation method worked best on each datasets, applying cross validation and regression for a robust method of data validation. As well as interpolation analysis, I developed an algorithm in Python using SciPy to rescale historical ECV soil moisture satellite data for proper time-series analysis with current SMAP data. Assisted with the Canadian Crop Inventory data collection by operating a tablet on the road with ArcPad to collect crop types across Southern Ontario.
Geomatics Technician • September 2015 - December 2015
Designed and created a user-friendly interface using VB.NET to assist in running the Canadian Crop Yield Forecast (CCYF) model to decrease chances of user-error. In addition to designing the interface for CCYF, I debugged and added features to the model written in R, Python, and Fortran, adding functionality when necessary. I wrote a detailed user and software manual for the interface to ensure that future users and developers of the product could continue using and improving it.
GIS Technician • January 2015 - April 2015
Troubleshot complex GIS and remote sensing question that arise from patrons, as well as led classes for upper years and graduate classes on a wide range of GIS topics, from the basics of GIS to advanced spatial analysis. Developed new online tutorial packages for patrons to use and reference.
Developed at SpaceApps 2018 and winning globally, this hackathon project converts satellite imagery into music based on the dominant land cover classes in the image, catering towards musicians and people with visual impairments
Developed a blog/webmap from scratch that displays my intended tour route, and pulls from Strava my actual distances and appends the Strava routes to the webmap as a green line, showing my progress throughout the tour below my text updates on the blog. Uses Python to perform the GeoJSON updates, and Leaflet to display the route and progress layer. Also uses instaJS to show photos of the journey pulled from my dedicated Instagram account.
Web Development, Web Mapping, Python
Using LANDSAT imagery, our team of researchers assessed how the land use in the Democratic Republic of the Congo changed throughout the first and second Congo wars.
Remote sensing
Developed an application in Python using Google Directions API, Forecast.io API and Leaflet to determine weather along a route and display it on an easy to use web map.
Python, web development
Designed and led a tutorial for the Geospatial Club on using command-line open source GIS utilities to perform spatial analysis, and touched on batch automation in Windows. Used GDAL and SAGA.
Tutorial, command line, FOSS
Designed and led a tutorial on an introduction to QGIS, a free and open source graphical GIS platform for the Geospatial Club.
Tutorial,FOSS,QGIS
Built an IPython notebook for calculating NDVI using GDAL and Numpy libraries for a fourth year knowledge integration class with a peer.
Remote sensing,python
Developed a web mapping application at an equity themed hackathon that highlights low income neighbourhoods and the walking time required to get to the nearest grocery store. Analysis was done in ArcMap using Network Analyst and the Closest Facility tool, and visualized using QGIS and Leaflet.
Arcmap,Leaflet
