Personal Details

A little bit about me: I am a fan of F1 motorsports. I love photography and videography (a personal goal is to create cinematic travel films). I am also an avid gamer and enjoy playing competitive strategy games such as Teamfight Tactics. Lastly, I love learning. Constantly setting personal goals and striving to improve, whether about data analytics, business management, or personal fitness.

I recently graduated from the University of Toronto with a bachelor's in business management specializing in information technology. After working a year as a business analyst for a venture capital firm, PyCap Venture Partners, I have completed data analytic projects and certifications to improve my expertise in the data field.

About me

Data Analytics

I am passionate about understanding the heart of a problem and coming up with a solution.

Data Visualization

Creating eye-appealing visuals to represent data.

Machine Learning

I love learning about the applications of ML for big data challenges.

Data Engineering

Learning to create scalable pipelines at the enterprise level.


Deepening my understanding of how the economic system functions.


I enjoy working with my team to create winning strategies.

Data Analytics

Python (Pandas) - 5

SQL - 5

Statistical Methods - 4

Data Engineering

Microsoft SQL Server - 4

Google BigQuery - 3

ETL Pipelines - 3

Data Visualization

Presentation/Storytelling - 5

Tableau - 4

Power BI - 3


Take a look at some of my work.

Oct 31, 2022

Bellabeat: Analysing of smartwatch consumer preferences. (BigQuery SQL, Tableau)

A capstone project as part of the Google Data Analytics Course. Utilizing Google's BigQuery platform for data preperation and Tableau for final visualizations and analysis.

Nov 23, 2022

Job Postings Web Scraper and Data Analysis. (Python, Pandas, Jupyter Notebook)

Analyze the current and past job market for Data Science roles posted on Glassdoor, specifically new-grad roles. Coded using Python in a Jupyter Notebook envrionment. The project showcases the entire Data Science project life cycle: from data aggregation to model generation

Apr 10, 2022

Regression Models on Consumer Usage Patterns

A school project focusing on the application of linear regression models in R. Analysis was conducted on the real-world biking data from the city of Seoul to improve its public bike rental service. A regression model was fitted and improved upon to explain and predict the demand for rental bikes at certain hours of the day.