Full stack developer & data scientist with a Software Engineering degree, and 4 years of experience in development & data analytics in the GIS industry, environmental sector, health sector, telecommunications sector, med…
Full stack developer & data scientist with a Software Engineering degree, and 4 years of experience in development & data analytics in the GIS industry, environmental sector, health sector, telecommunications sector, media sector, and federal government.
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Designed front end mock-ups, and implemented them as reusable React UI components
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Developed back end logic on Node server, as well as GraphQL queries and mutations to access data from Redis cache
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Proposed and spearheaded innovative new solutions like tracking errors via Google Analytics, and getting Typescript features out of Javascript
Designed front end mock-ups, and implemented them as reusable React UI components
Developed back end logic on Node server, as well as GraphQL queries and mutations to access data from Redis cache
Proposed and spearheaded innovative new solutions like tracking errors via Google Analytics, and getting Typescript features out of Javascript
Worked on full stack development projects for the https://www.rogers.com website, such as the MyRogers customer account management platform
Developed back end ETL solutions for network data to analyze and prevent network outages
Developed the React front end of https://www.sportsnet.ca, a platform used by millions of Canadians, whilst collaborating with giant stakeholders like MLSE
Innovated an algorithm that statistically inferred 3D positions from a 2D source
Developed an application that ran aforementioned algorithm on positional sonar datasets
Built back end & front end in Python, used Numbas for Python optimization of big datasets
Researched & published insights to an environmental problem plaguing both Environment Canada & NOAA, and collaborated with both government bodies of both nations on how to solve the problem
Cleaned, processed, analyzed, and visualized data using Python, R, and ArcGIS
Created forecasting models & insights using various AI/ML techniques like regression & clustering
Proposed a new type of UI/UX for the general populace to use to interact with federal government web maps
Created a new kind of temporal web map using the Carto platform & API
Developed on an internal company fork of the popular open source Oscar EMR
Deployed, maintained, and supported the Oscar EMR platform for over 100+ clients, clinics, and hospitals all over Ontario
Developed custom solutions on the Oscar EMR platform to meet individual physician’s unique test cases
The stack used was Apache Tomcat, Java, Javascript, & MySQL on a Linux server
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