For a detailed resume, check out my LinkedIn or contact me!

Skills

Design

CSS, SASS, frameworks (Bootstrap, Materialize)

Front-end Dev

JavaScript, jQuery, HTML, pug, ~React

Back-end Dev

Node.js + Express, Python + Flask

GIS

Vector and raster data

Tools for Engineering + Analyses/Analytics: QGIS, OpenStreetMap (iD, JOSM), GDAL, PostGIS, Esri products (e.g., ArcMap, ArcPro, ArcOnline), other open-source geospatial libraries/packages/software

Tools for Mapping Services: Mapbox GL JS, Leaflet (R or JS), Google Maps API

Data Science

Data: json, geojson, shp, (satellite) imagery, tiff, csv, kml, osm xml/pbf, R/Python data frames, sas7bdat, unstructured text (tweets, free text)

Data Mgmt: SQLite, PostgreSQL(+PostGIS), Oracle, Microsoft SQL Server, MongoDB

Data Analytics: R, Python, Stata, GeoDa, SAS

Data Visualizations: D3.js, R Shiny Apps + Plotly + Leaflet, Tableau, PowerBI

Development

Architecture: Client-server (RESTful API), Pipline, Database-centric, Event-driven

Environment: package/library mgmt (pip, conda, R), version control (git, GitHub, Bitbucket, GitLab)

Work

  • January 2018 - Present

    [Geo]Data Scientist at Employment and Social Development Canada (ESDC)
  • July - December 2017

    Data Intern at Mapbox
    • OSM data validation and tooling with Node.js
    • JOSM armchair mapping
    • OSM community organization (e.g., planning workshops, presentations). Check out my post on Mapbox's "Points of Interest" blog
    • English teaching
    • Data visualizations with JS/React and Mapbox GL JS (e.g., Crimecouver and BC2020 Mapathons)
  • February - June 2017

    Data Production and Dissemination Officer at Statistics Canada
    • Reached out to local communities to engage in contributing OSM data
    • Spatially managed and analyzed government business data
    • Researched and designed a mobile crowdsourcing web app
    • Collected, managed, analyzed, and visualized large spatial (osm/pbf, geojson, shp) datasets
    • Developed a spatial server: PostGIS -> Node.js back-end -> GeoJSON RESTful API -> web app & map. Code can be seen here
    • Advised on open data licensing
    • Developed R code for monitoring, analyzing, and visualizing OSM data
    • Supported open-source code and data, and contributed back via GitHub
    • Researched and developed a methodology to assess the quality of OSM data. Research can be seen here
    • Collected and managed a Postgres/PostGIS database for quality assurance
  • August 2016 - June 2017

    Open Data Consultant & Full-Stack Web Developer

    Front-end web development for Open North and Publish What You Pay Canada. Collected and managed a database of payments to government organizations from resource extraction companies; and, with the data, designed and developed an interactive Mapbox.js map and D3.js dashboard web app. Check out the visualization here.

    Back-end and front-end development for Johns Hopkins University’s Center for Government Excellence. Designed with SASS, managed data with Postgres, and developed a Node.js web app hosted on Heroku that served an open data standards directory. Check out the site here.

    Experienced handling various administrative data from various sources.

    Designed and developed UI/UX templates for maps, websites, data portals.

  • May - August 2016

    Research Assistant at Geothink

    Research assistant for Geothink’s Civic Open Data Standards project. I (i) assessed Canadian municipal datasets and open data portals; (ii) designed with Bootstrap and developed a JavaScript web app to host a catalog of open data standards; and, (iii) designed, conducted, and transcribed semi-structured telephone surveys. Code can be seen here.

Education

  • 2012 - 2016

    Bachelor of Arts at McGill University (Graduated with Distinction)

    Major: Geography; Minors: Geographic Information Systems, Remote Sensing, Anthropology

    Activities: Big Buddies Tutoring (2015); Drive Safe (2013); McGill Varsity Soccer Team (2012-2013); Maptime MTL (2015-2016)

    Projects:

    • With Python, mined thousands of georeferenced tweets and then managed, analyzed, and visualized the spatial and temporal
    • Developed a front-end JavaScript web app that automatically crowdsourced, geocoded, and visualized spatially-referenced data
    • Developed a web app that automatically scraped, standardized, and mapped Kijiji real-estate postings
    • Designed an online survey, coded the data, and then spatially predicted where new dumpsters should be located in Montreal
    • Ran a cost distance analysis that identified a new hiking path in North Vancouver