- Experiment tracking and resource utilization for ML model training
Machine Learning Engineer - Advanced Analytics
CIBC
Sep 2020 - Sep 2021(1 year 1 month)
- I was fortunate to be one of the first MLEs across the organization. I designed, developed and productionized multiple ML models for various usecases across different orgs at the bank.
- Had fun building internal ML libraries and teaching others within the organization how to use them.
- Did research in my free time on the problems of data drift, algorithmic bias and AI fairness.
Undergraduate Research Assistant
University of Waterloo
May 2019 - Jun 2020(1 year 2 months)
- Protein folding conformation prediction with Monte Carlo and deep neural networks
Machine Learning Intern - Data Science & Analytics
Scotiabank
Sep 2018 - Dec 2018(4 months)
- Conducted research on attrition modeling of 6 million customers using deep neural networks.
- Got to taste the charm of deep learning and how large-scale data pipelines work.
Data Scientist Co-op - Data Studio
CIBC
May 2018 - Aug 2018(4 months)
- Prototyped the first real-time ML project across the bank that was eventually deployed to production: a Python program with XGBoost backend to automatcally correct errors in global money transfer messages.
- My first real "Data Science" internship and I got to know many wonderful people.
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Data Research Analyst
Newtopia Inc
Sep 2017 - Dec 2017(4 months)
- Developed regression models for customer weight loss analysis and automated monthly/quarterly billing reports with R and Excel.
- It was fun working at a startup.
Actuarial Technical Specialist, Global Risk
Reinsurance Group of America Incorporated
May 2016 - Aug 2016(4 months)
- Published internal manuals on how to use a insurance software (GGY-Axis). - Made me realize this industry is not for me.
Education
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Master of Science
University of Washington
Jan 2021 - Jan 2023(2 years 1 month)
- Natural Language Processing
- Deep Learning
- Statistics & Probability
- Data Visualization
- Applied Statistics & Experiment Design
- Software Design
- Statistical Machine Learning
- Human-Centered Data Science
- Scalable Data Systems and Algorithms
Bachelor of Mathematics, Co-operative Program, Computational Mathematics, Statistics, Computer Science
University of Waterloo
Jan 2014 - Jan 2019(5 years 1 month)
Graduated with Distinction
Major in Mathematical Finance until 4A
Bachelor of Mathematics, Co-operative Program, Computational Mathematics, Statistics, Computer Science
University of Waterloo
Master of Science
University of Washington
Projects (professional or personal)
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Hand-drawing Classification on “Google Quick, Draw!” Data
Feb 2018 - Apr 2018(3 months)
Evaluated the effectiveness of convolutional neural network models in the hand-drawing classification problem by comparing results of multiple classification models (convolutional, feed-forward, boosted tree). Attempted to modify the CNN model by integrating GloVe word embeddings and transfer learning.
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Analysis on Public Preference of Uber, Citadel & Correlation One Datathon Competition
May 2017
Applied regression models and performed statistical hypothesis testing in R on the database of 16.8 million Uber trips to determine the correlation between safety and preference
Awards
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University of Waterloo President's Scholarship of Distinction
University of Waterloo
Jun 2014
University of Waterloo International Student Entrance Scholarship
University of Waterloo
Jun 2014
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Overall Excellence Award
International Baccalaureate Diploma Programme
Jun 2012
Outstanding Cambridge Learner Awards
University of Cambridge
Jun 2012
Highest mark in the world for Cambridge IGCSE Additional Mathematics