Norman Lo

Economist / Data Scientist
Adjunct Professor
San Francisco
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Norman's Resume

Norman's Profile

I am a seasoned data scientist with extensive experience in academic research and data analytics. My expertise lies in proficiently managing data and utilizing statistical packages such as Javascript, Python, R, Stata, MatLab, E-View, SQL, and VBA. In 2015, I earned an M.S. in Quantitative Economics with a specialization in Health Economics, Industrial Organization, and Behavioral Economics. Additionally, I completed the U.C. Berkeley Data Analytic boot camp in 2019, enabling me to stay abreast of the latest technologies and industry best practices. In 2020, I achieved certification as a Tableau Desktop Specialist. With a solid foundation in academic research, I am driven to leverage my abilities in constructing diverse statistical models, accompanied by visualization techniques, to empower decision-making processes and facilitate the achievement of company objectives.

Education

UC Berkeley Extension Program

A 24-week intensive program focused on gaining technical programing skills in Excel, VBA, Python, R, JavaScript, SQL Databases, Tableau, Big Data, and Machine Learning, 2019.

San Francisco State University

Master in Quantitative Economics, 2015

Bachelor in Economics, 2004

Technical Skills

Technical Knowledge:
Regression Model, Catagorical Analysis, Machine Learning, and Big Data Analysis
Programming Language:
R, Python, Javascript, SQL, noSQL, Stata, E-View, MatLab, HTML, and CSS
Data Manipulation & Visualization:
Tidyverse, Pandas, MatPlotLib, Seaborn, Tableau, Plotly, and D3
Database:
mySQL, postgeSQL, mongoDB, SQLite
Others:
Git, Flask, command line, Apache Spark, TensorFlow, StatsModels, Scikit-Learn

Timeline Visualization