Flipp was a dream come true for me and I couldn't have asked for a better way to spend 2 months of my eleventh-grade summer. At Flipp, I worked as a data scientist where I normalized and engineered features out of 50,000 resumes. Using these features (over 30 independent ones), and multiple bags of words, I fed my data into machine learning algorithms to predict how well candidates will fare during the hiring process.

I remember constantly asking our Talent Team over specific details in every resume to acquire a deeper understanding of the hiring process of every role at Flipp. Turns out, hockey players could become our next Operations Coordinator! I also developed an extremely accurate resume parser in response to imprecise open-source and industry parsers.

If you're interested in learning more about my time at Flipp, take a look at my work term evaluation here

As Canada's first space accelerator, MaxQ aims to lead space startups to success by providing mentorship and capital. During my tenth grade summer, I interned at one of their startups Skywatch and created an API that parsed HDF files (from NASA's satellites) into JSON. This data is then inserted into a PostgreSQL database where third parties can query the API by geological region and time.

STEM Fellowship

After placing first at the STEM Fellowship's Big Data Challenge, I jumped down a rabbit hole and joined the Fellowship's Data Science Team to train future analysts. The nonprofit is run by Canadian students who hope to equip fellow colleagues with skills in data science and scholarly writing. At the organization, I pass my days by preparing datasets for our Kaggle-like competitions and organize academic reporting challenges.

View the project

Competitive Programming

The one thing that separates a computer scientist from a competitive programmer is an obsession with Good Will Hunting. No matter how many Segment trees, Dijkstras, or BITs you make, school will never teach you how to cleverly implement the algorithms we take for granted. I specialize in writing C++ structs to help my BIT offline query at O(nlogn) complexity. Running Square Root Decomp to find the LCA is also fun. Come check out my solutions to over 500 problems.

On the stage of Canada's largest hackathon, our team proposed Agrigate, a solution to better Ontario's agricultural security. Using a combination of geographic data from Nasa and Ontario's land surveys, our webapp could deliver current climate statistics as well as project crop prices until the year 2020.