Education

2022-2023

Master's of Data Science and Analytics

University of Calgary
GPA: 4.0

2015-2020

Bachelor of Science in Integrated Science

University of British Columbia
GPA: 3.9

Experience

October 2024 - Present

Enterprise Data Engineer (GTLP)

Telus

September 2023 - Present

Junior Data Scientist

EvolveLab

May 2020 - August 2021

Statistical Researcher

VGH Medical Research Group

Publication Link

Skills

Programming Languages: Python, R, SQL, Java, JavaScript, HTML, CSS
Big Data and Analytics Tools: MySQL, Spark, Hadoop, MongoDB, Kafka, AWS database services, Tableau
Machine Learning: scikit-learn, TensorFlow, PyTorch, matplotlib, scipy, Supervised and Unsupervised Learning Algorithms, A/B testing, Hypothesis testing, Time series, Statistics

Project Portfolio

Recycling Image Classification Robot

I used a convolutional neural network built with TensorFlow to create an image classification model to classify waste. I then connected model to raspberry pi to make a physical interface for users to interact with.

Video of Robot Github code

Chessalytics

I performed an analysis of my chess.com data containing over 4000 games played! I created all visuals use Plotly in Python as well as Tableau.

View Article

CSVAnalysis.com

I built and deployed a website where users can upload a csv file and receive a preliminary analysis. I utilized the Pandas library in Python perform the analysis, and the Flask library to handle user input and integrate with the site.

Link to site Github code

Airbnb Exploratory Data Analysis

I performed exploratory data analysis on two datasets containing information on Airbnb listings and their reviews. I cleaned and wrangled the data using Python with Numpy and Pandas. I visualized relationships between chosen variables using visualization libraries such as matplotlib, plotly, and seaborn.