Résumé

Technical Skills #

• Programming Languages:
  • Python , R , SQL
  • C# , VB.NET , .Net Development
  • Javascript , Html , CSS
• Machine Learning Libraries:
  • PyTorch , TensorFlow , scikit-learn , DSPy , SciPy , pandas , numpy , OpenCV , Pillow
  • ONNX , sklearn-onnx , spaCy
• AI Development:
  • Transformers , PaddleOCR , Google ADK , DSPy , LangChain
• Data Visualization:
  • Streamlit , Dash , Shiny , Plotly , Vega-Altair , matplotlib , ggplot
  • Tableau , PowerBI
• Software Development:
  • Git , Github , Airflow , Docker , Jira , Jenkins , PowerShell , bash
• Other tools:
  • Snowflake , Microsoft SQL Server , Visual Studio , Azure ,
  • ArcGIS , QGIS
  • SAS EG , MATLAB , MicroStrategy
  • Power Automate Desktop , UiPath , Automation 360 , BluePrism
• Analytics topics:
  • Customer Value Prediction , Customer Segmentation , Sentiment Analysis
  • Seaonality Analysis , Market Potential and Shares Estimation , Competitor Analysis
  • Pre & Post Campaign Analysis , Optimizing Sales Channel

Professional Experience #

Data Scientist · NielsenIQ
Sep, 2024 – Present

Data Scientist · Blueprint Software System
Apr, 2021 – Sep, 2024

Data Scientist · Bell Mobility
Jan, 2020 – Dec, 2020

Market Insight Analyst · Bell Mobility
Aug, 2017 – Dec, 2019

Data QA Analyst · Environment and Climate Change Canada
May, 2016 – Apr, 2017

Co-op / Internship #

Data QA Support · Environment and Climate Change Canada
May, 2015 – Dec, 2015

Assistant Methodologist · Statistics Canada
Jan, 2014 – Aug, 2014

Projects #

RomAIance - AI Powered Match Making · Personal Project
Nov, 2025

• RomAIance is an interactive AI-powered matchmaking application that uses a Multi-Agent System (Google-ADK) to help users build structured dating profiles, find compatible matches, and compose personalized messages. It was developed as the capstone project for the 5-Day AI Agents Intensive Course with Google course.
• Project Page, GitHub

Image Segmentation of Coral Baby · Personal Project
Jan, 2023 - Jun, 2023

• Developed an image segmentation model using a U-Net architecture with ResNet backbone, transfer learning using pre-trained weights from ImageNet to highlight area of coral babies in images of coral frags
• Project Page

Photo of Photo · Trusting Pixels Inc.
May, 2022 - Jun, 2022

• Collaborated on a team to develop a proof-of-concept machine learning model to detect recaptured images
• Built an interactive Dash application incorporating the best model, allowing users to annotate and identify false recaptured images
• Project Page

Polyfit · Personal Project
Feb, 2021 - Feb, 2021

• Interactive R Shiny tool for visualizing curve fitting using polynomials
• Project Page, GitHub
• Launch App

Education #

Masters of Data Science
University of British Columbia
Sep, 2021 - Aug, 2022

Honors Bachelor of Science - Mathematics and Statistics Co-op
McMaster University
Sep, 2011 - Aug, 2016

Misc. Information #

• Languages: English, Cantonese, Mandarin