Help & Supportcareers@gravityer.com
Machine Learning, Deep Learning, and Google Cloud Practioner
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I specialize in machine learning, data mining, analysis, and numerical simulation. I have built up several areas of profession experiences ranging from machine learning space engineering, to policy design and public advocacy at the Provincial Government level. With this unique blend of experience, I possess both a wealth of technical knowledge as well as robust communication skill to convey complex theories into intuitive ideas to reach my target audiences.
Udacity
Deep Learning Foundations Nanodegree, Deep Learning
January 1, 2017 – January 1, 2017
Udacity
Nanodegree Program, Machine Learning Engineer
January 1, 2016 – January 1, 2017
University of Toronto Institute for Aerospace Studies (UTIAS)
Master's Degree, Aerospace Engineering
January 1, 2009 – January 1, 2011
University of Toronto
Bachelor's Degree, Engineering Science - Aerospace Engineering
January 1, 2004 – January 1, 2009
Meta
SWE - Machine Learning
November 1, 2022 – Present
Scotiabank
Data Science Manager
October 1, 2020 – November 1, 2022
Toronto, Ontario, Canada
Scotiabank
Senior Data Scientist
February 1, 2019 – October 1, 2020
Toronto, Ontario, Canada
Hubba
Senior Data Scientist
May 1, 2017 – November 1, 2018
Greater Toronto Area, Canada
TD BANK
Data Scientist - Machine Intelligence, North American Fraud Analytics
January 1, 2015 – April 1, 2017
Toronto, Canada
Industrial Power Consumers Association of Alberta
Policy & Regulatory Consultant
February 1, 2012 – December 1, 2014
Calgary, Alberta, Canada
Space Flight Laboratory
Spacecraft Assembly Integration and Test Engineer
August 1, 2009 – January 1, 2012
Toronto, Ontario, Canada
Training a Smart Cab to Drive
January 1, 2017 – Present
○ Successfully applied reinforcement learning (Q-learning) to teach a “smart-cab” agent to drive reach its destination with A/A+ in safely and reliably. ○ Explored different agent state representation based on the sensory inputs available, as well as different learning rates.
Finding Customer Segments
November 1, 2016 – Present
○ Discovered hidden customer segments in the dataset by deploying K-Means/Gaussian Mixture Models, and tuned model hyper-parameters to achieve optimal clustering performance. ○ Carried out in-depth data exploration through outlier identification & removal, feature reduction & transformation via Principal Component Analysis. ○ Interpreted analysis result and successfully transformed insights into actionable business strategies to increase operation efficiency.
Student Intervention System
September 1, 2016 – Present
○ Developed an early alert system that identifies students with trouble in their learning with a F1 score of 0.84. ○ Performed model selection by comparing the performances between AdaBoost, K-Nearest Neighbors, and Gaussian Naïve Bayes classifiers.
Intro to Data Science
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on data science and machine learning across various industries (finance, e-commerce, tech). Their academic background in Aerospace Engineering, followed by specialized nanodegrees in Deep Learning and Machine Learning, demonstrates a continuous learning mindset and adaptability. The personal projects further reinforce a proactive approach to skill development. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards 'Data Scientist' and 'Machine Learning Engineer' roles, which might indicate an overqualification or a potential mismatch in expectations for a pure analyst role. The breadth of experience across different companies and project types suggests adaptability and a willingness to tackle diverse challenges.
Soft Skills & Operational Fit
The candidate's experience as a Data Science Manager at Scotiabank indicates strong leadership, mentorship, and stakeholder management skills. Their involvement in establishing governance frameworks and managing model validation processes suggests a structured and compliance-oriented approach. The policy and regulatory consultant role also highlights strong analytical and communication skills in complex environments. These attributes suggest a good operational fit for roles requiring both technical depth and team/project leadership.