cherrypicker.io

Basketball Analytics and Visualizations

Website: cherrypicker.io

Github repo: github.com/VictorThibert/cherrypicker.io

Collaborators: Laurence Li (check him out) and Victor Thibert

Description: This is an ongoing project, and I see myself contributing to it indefinitely. Basketball stats galore!

tfsa.cherrypicker.io

A Simple Guide to the TFSA for Canadians

I wrote this guide because not enough Canadians know about the Tax Free Savings Account that recently launched in 2009. It was intended to help provide tax benefits to lower income earners in Canada, but unfortunately only 38% of Canadians have even opened a TFSA. Even worse, is that the rules regarding the TFSA can be quite confusing and I was not able to find many user-friendly guides out there. I decided to create my own and if even one person decides to make use of a TFSA, then I will consider my mission a success.

Website: tfsa.cherrypicker.io

Github repo: github.com/VictorThibert/tfsaguide.me

Collaborators: Charlene Wang, Robin Bandzar, and Victor Thibert

Neat! A guide!

Oh god.

It doesn't need to be this complicated..

Standardized Population Methology

A less arbitrary way to measure population

Author: Victor Thibert

I see conversations like this way too often:

Motivation: I've found that people often use population numbers to make assertions about certain cities (e.g. whether they could support an expansion NBA team, the size of the real estate market, etc.) which I am all for. The problem is that there are many ways of evaluating a city's true size, none of which I feel paint the true picture (the most misleading of them being City Proper Population, which is based on historical and very arbitrary boundaries). You can see very quickly below how wildly the top US cities fluctuate in rank across the methodologies.

I am developing an algorithm that will standardize city population, eliminating the human element from the equation. My hope is that this will make for a better way of making cross-city comparisons.

Technical Details: Soon to be published once polished up! (Essentially, maximize city radius while maintain set population density)

Friendmap

Phone app that lets you see where your friends have been

Collaborators: Ahmed Khan, Brandon Baksh, Laurence Li, Victor Thibert

Github repo: github.com/VictorThibert/friendmap

Friendmap is an app that lets you pin certain keys locations on your map. Whether you loved it, thought it was 'meh', or hated it, you can pin it. You can then selectively follow other people's map to see where they've been and hopefully get some inspiration. If you're going on vacation, feel free to follow your favourite travel bloggers and see what they recommend in the city. Working on adding filtering by category / price / distance / etc.

mapbucket

Collection of maps I am currently working on

mapbucket website

City Districts Using Unsupervised Learning Algorithms

Splitting up a city by it's demographic features

I have created an ML model which takes in a multitude of factors about a city's population (e.g. income levels, race, physical location, age, etc.) and draws boundary lines between areas of a city, thus creating 'districts' of sort. There are still some bugs to stamp out. Will publish the districts for Montreal / Toronto / Ottawa soon.

Author: Victor Thibert

Technical Details: Coming soon!