I am a data scientist with a strong mathematical background and experience in big data and machine learning. I am currently an undergraduate student at the University of Toronto, studying math & physics, with a CGPA of 3.97, and expected to graduate May 2018.
I have experience in industry data science, as well as traditional data analysis in academic research roles in physics. I completed an internship in Summer 2017 with ZeroGravityLabs, an innovation lab of LoyaltyOne, 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 also do machine learning projects and kaggle competitions with the UofT Data Science Team.
In addition, I am an educator of mathematics and data science mentor. I have been a math teaching assistant at UofT since my sophomore 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
|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*
* : Renewed for
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