I'm an engineer from the University of Toronto's engineering science program. I've worked previously at Deloitte Consulting, Honeywell Aerospace and for a few startups.
I making things that people use and then learning how they use them. I want to understand things clearly and explain them well. I'm interested in the behaviour of complex systems, data journalism and storytelling.
Explore over 100 datasets from 30 years of congressional data on the systemic trends, in government, politics and the media, affecting the health of democractic institutions
Compare the survival probabilities of Test players to identify key factors and create appropriate metrics to determine clusters that separate the great from the good
Explore the MIT living wages database and predict the states most likely to pass state legislation to increase the minimum wage
Compare regression methods, decision trees and random forests in explaining commodity price fluctuations based on El Nino and El Nina weather effects
Rent tools, furniture and other one-time items from your local stores
Fashion your wardrobe with this collaborative filtering recommendation engine
Exploring behavioural patterns, productivity triggers and habit clusters using self-quantified data of over 4 years (currently being converted to an Android app)
A number of machine learning and visualization data experiments - from beginner Kaggle projects, viz in D3 to Hadoop map-reduce scripts to analyze web logs - using APIs / scraped data / public datasets in R and Py.
Re-design of Github for an easier SPA view using React.js
Fun with poetry, animation and math in the NP problem set
Fun with machine learning (alphabeta minmax) to create an automated opponent
Optimizations of single antenna and multiple antenna wireless systems for real world applications
Collection of wireframes, PSDs, use cases, user flows, user growth & market strategies, product roadmaps, partner presentations etc. created across startups