About Me

Olivia Lin is an enthusiastic data scientist with strong background in statistics, mathematics, and economics. She now works with the Information and Communications Technology Council of Canada (ICTC), a national centre of expertise on the digital economy. With the data & analytics team, Olivia works specifically on data visualization, web scraping, and natural language processing. Olivia brings her expertise in machine learning and data mining to the labour market research. Olivia holds a Master of Data Science from the University of British Columbia.

Olivia has a strong passion about the field of data science and artificial intelligence because she believes these are powerful tools. Being able to devote herself to make the world in its better form and make people’s life in a more convenient way excites her a great deal. As a fast learner and problem solver, Olivia enjoys exploring new things and learning new knowledge.

Olivia was born in China and studied in California as an exchange student in high school. Olivia loves traveling, arts, and architectures. Her favourite museum is The Art Institute of Chicago and favourite artists are Monet and Morisot. Olivia is also a vlogger and soft oil pastel painter in her spare time.

Skill Set

• Programming & Analytics: Python (BeautifulSoup, Pandas, Scikit-learn, Plotly, etc.), R (Shiny, GGPlot, etc.), SQL, Power BI, Tableau, Java, HTML5, SAS, Microsoft Excel
• Statistical Analysis: Machine Learning (NLP, Clustering, KNN, SVM, PCA, Neural Network, etc.), Generalized Linear Regression, Hypothesis Testing, Recommender System, Feature Engineering
• Applications: Keras, TensorFlow, AWS, Hadoop, Docker, Git, Agile Methodology

Education

Master of Data Science (2018 – 2019)
University of British Columbia, Vancouver, BC, Canada
GPA: 91%

Bachelor of Arts (2014 – 2018)
Lawrence University, Appleton, WI, USA
Double major in Mathematics and Economics
GPA: 3.9 / 4.0
Honors: Four Year Dean’s List, Phi Beta Kappa