I am a data scientist with a strong mathematical background, and experience in big data and machine learning.
I am currently a Machine Learning Engineer at Dessa (formely deeplearni.ng) in Toronto. I completed an internship in Summer 2017 with ZeroGravityLabs on blockchain and big data. Furthermore, I have completed machine learning projects in housing price prediction and city planning, and wrote a guide with over 200 Github stars on setting up Spark with AWS.
I have a B.Sc from the University of Toronto in the Math & Physics specialization, with a CGPA of 3.97. I did machine learning projects and kaggle competitions with the UofT Data Science Team.
In addition, I am a mathematics educator and data science mentor. I was a math teaching assistant at UofT since my second year and have collaborated with faculty to develop curriculum for a data science course. I have also mentored participants and judged projects at HackOn(Data) 2017 — a Toronto data science hackathon.
I am currently learning statistics, probability theory, machine learning, neural networks, and algorithms & data structures.
See LinkedIn and Projects on sidebar. My Resume
|3T0 M. & P. and Associates Scholarship||2018|
|Norman Stuart Robertson Scholarship in Mathematics||2017|
|Coexter Scholarship in Mathematics||2017|
|C.L. Burton Scholarships for Mathematics and/or Physical Sciences||2017, 2016|
|Third Place at HackOn(Data)||2016|
|NSERC Undergraduate Student Research Award||2016 (UToronto)
|Dr. James A. & Connie P. Dickson Scholarship in Science and Math||2015|
|University of Toronto Scholar
Joseph Alfred Whealey Incourse Scholarship
|Howard Ferguson Provincial Scholarship||2014
2015*, 2016*, 2017*
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