Matthew Yee

About Me

My name is Matthew Yee. The past five years I have been working in the Life Insurance and Investments industry, but I am looking into the world of big data. I have always loved sports, so seeing the data movements in sports like baseball, basketball, and football is like watching two of my biggest passions collide. Outside of work and sports, I love hanging out with my friends and dogs, traveling, playing video games, and attending local pub trivia nights.

Experience

Pacific Life Insurance Company

Product Support Analyst

Oversee product development by creating and updating product scope, product specification and ensuring feasibility from Information Technology, Compliance, Tax, Marketing, Competition and other Internal Division to make sure that needs are met and specification are executed as intended.
Develop Python tools and scripts by utilizing Pandas, Sci-Kit Learn, MatPlotLib Libraries to create reports and analyze, visualize and summarize internal data including sales, lapse, product and rider usage and profitability, individual policy data.
Using Microsoft Excel and Visual Basic, benchmark and analyze products to ensure that products yield intended results across multiple company platforms including internal administrative systems, producer illustration systems and customer service interface systems.
Develop and review product and rider specifications, and evaluate internal and external documents as subject matter expert to ensure that communications within the company and outside the company accurately represent the products and features of Pacific Life’s products.
Develop macros in Visual Basic to detect potential errors within internal product rates, and to produce other numerical summaries or tools for internal and/or external departments for complex calculations.

Forester's Financial

Financial Services Representative

Developed prospecting plans including contacting natural market, utilizing warm and cold calling, hosting seminars and interacting using social media.
Carefully reviewed clients’ risk profiles, current assets and liabilities, time horizons, and investment, supplemental income and insurance needs to determine long financial plans designed to optimize short-term and long-term incomes.

Education

University of California - Irvine

January 2018 - July 2018

Data Analysis and Visualization Bootcamp

An intensive 24-week boot camp focusing on methods to mine, prepare, analyze, visualize and present data both numerically and graphically. Created capstone projects using numerous Python Libraries (including BeautifulSoup, Pandas, MongoDB, API, Flask and SciKit Learn) and JavaScript Libraries (including d3, jQuery, API and foo-table) and Tableau for NBA Shooting Dashboard and NFL Machine Learning. See Projects section for more details.

University of California - Los Angeles

September 2009 - March 2013

Bachelor of Arts in Business-Economics

Lambda Chi Alpha Fraternity: Founding Father, Internal Vice President, Ritualist, Intramural Sports Chair

Projects

NFL Machine Learning

Used BeautifulSoup Library to scrape statistics from previous nine NFL seasons
Used Pandas Library and to store and modify the data
Used Scikit and StatModels Libraries to run deep neural network and regression model to predict outcomes of games given certain stats.
Used Flask Library to send data back and forth between the front-end webpage to the back-end Python Machine Models
Used Excel and Tableau and JavaScript to create interactive charts and tables and widgets for visualizations

View Project | View Code

NBA Shooting Dashboard

Used BeautifulSoup to scrape data from NBA.com including shots by quarter, shots by zone, and normal counting, per game and advanced stats
Used JavaScript applications to build graphs including d3 for SVGs and data recall from MongoDB to build basketball court, and plotly for other visualizations
Used data to build out graphs and tables in NBA shooting Dashboard
Used Javascript to automatically refresh data when a player is searched for including player pictures, team logos, and player statistics used in graphical and tabular representations