Andrew D'Angelo

Lead Software Engineer
@ reebee

M.Sc., B. Comp,
B.A.Sc.

Java, Swift,
C, C#, Python

Work & Education



  • reebee
    Lead Software Engineer
    January 2017 - Present

    Android and iOS developer

    Design, code and maintain the reebee mobile apps

    Lead Android UI/UX designer


    Software Engineer
    May 2016 - January 2017

    Android developer

    Design, code and maintain the Android reebee app

    New feature development and implementation within the Android reebee app

    Lead the UI/UX upgrade of the reebee Android app to Material Design


  • University of Guelph
    M.Sc. - Computer Science
    Sept. 2015 - April 2016

    Developed algorithms to collect, clean and standardize ‘Sunshine List’ data

    Developed algorithms to create longitudinal links for individuals at different points in time

    Developed algorithms to infer the gender of an individual based on their given name

    Graduated with distinction


    B. Comp. - Computer Science
    Sept. 2012 - April 2015

    Area of Application: Math

    Graduated with distinction


  • Atotech Canada
    Electrochemical Engineer
    May 2011 - August 2012

    Designed and developed electroplating solutions for perspective and current clients

    Designed and developed wastewater treatment solutions for perspective and current clients


  • University of Waterloo
    B.A.Sc. - Chemical Engineering
    Sept. 2005 - April 2011

    Option in Management Science

    Graduated with distinction

Projects


reebee

The best way to browse flyers, create a shopping list and search for products!

Flyers at your fingertips - reebee delivers your local favourite flyers right to your smartphone and tablet.

Find great weekly savings on groceries, electronics, home improvement and more.


Meal Buddy

Is a simple and beautiful meal journal

So often we cannot remember what we have eaten, when we have eaten, and how much we have eaten. This app provides a visual means to journal meals on a daily basis.


Iron Tracker

The Iron Tracker App gives patients a single place where treatment and life-long progress can be tracked, combining appointment management with tracking and visualization of bodily hemoglobin and ferritin values, providing a clear visualization of this data to better understand and share progress with friends, family and physicians.


Publications


Masters Thesis - Analyzing the Gender Wage Gap in Ontario's Public Sector

University of Guelph - School of Computer Science

The disparity in wages between men and women is a well known fact; however, the contribution of each known factor is not fully understood. Leveraging the salary information provided by the Ontario Ministry of Finance could allow for a better understanding of the factors that contribute to gender wage disparity. The Ontario public salary data, also known as the 'Sunshine List', contains the salary information of individuals working in the public sector that earn $100,000 or more annually. Unfortunately, the Sunshine List data is not in a form that allows for direct analysis. The information must first be collected, cleaned, and standardized due to formatting inconsistencies within the Sunshine List data. Furthermore, although these salaries are publicly available, a key attribute is missing from the public data, the gender variable. A novel hybrid model is proposed to predict the gender based on an individual's given name, and the original database is augmented with the new gender variable. With the new database created, the wage-gap is analyzed and the results are presented and discussed. The findings of this research are being used by Ontario's provincial government to reassess and change current policies for pay equity.

Analyzing the Gender Wage Gap in Ontario’s Public Sector

2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA)

In this paper, we analyze the gender wage gap in Ontario's public sector. Our analysis is based on the salaries of high earners in the public sector. Although these salaries are publicly available from Ontario's Sunshine List, a key attribute is missing from the public data, the gender variable. We propose a 2-stage model to predict the gender based on the person's first name, and we augment the data with the new variable. With the new database created, we analyze, present and discuss results for the gender wage gap in Ontario. The findings of this research are being used by Ontario's provincial government to reassess and change current policies for pay equity.

Determining the utility of mobile applications for managing blood-iron in hemochromatosis treatment

Poster presented at the 6th Annual New Brunswick Health Research Conference, New Brunswick, Canada

The Iron Tracker App gives patients a single place where treatment and life-long progress can be tracked, combining appointment management with tracking and visualization of bodily hemoglobin and ferritin values, providing a clear visualization of this data to better understand and share progress with friends, family and physicians. The app also tracks phlebotomy appointments and details, helping patients manage their lifestyle and wellness.


Copyright © Andrew D'Angelo 2016