I'm passionate about translating massive data into easy-to-digest insights.
Outside of work, I enjoy skiing and outdoor activities. The photo on the right-hand side is Mt. Rainer, taken at Crystal Mountain - WA.
I also practice a minimalist lifestyle and minimal waste for a better planet.
Discover data trends & build data pipelines. Tools: dbt, SQL, Python (Numpy, Pandas, Scikit Learn), SAS, Stata.
Tell data stories & empower self-service exploration. Tools: LookML, Tableau, Power BI, Python (Matplotlib), R, PowerPoint, Excel.
Learn fast & promote efficiency. Initiate automation wherever fit, reducing manual work by 75% for a sampling project.
Lead cross-functional teams & align data findings with business goals. Served Fortune 500 clients and leading law firms.
This project conducts correlation, regression, and machine learning analysis with Python using Kaggle data on movies between 1980 and 2020.
This project applies the "Ask - Prepare - Process - Analyze - Share - Act" process to provide marketing strategies using Kaggle data on Fitbit tracker data in 2016.
This project performs data cleaning and statistical tests with SAS/SQL and data visualization with Tableau using Zillow housing data between 1996 and 2007.
This project consolidates data from multiple sources and builds interactive dashboards with Power BI using Microsoft worldwide sales data between 2014 and 2016.
This project consolidates data from multiple sources and builds interactive dashboards with Power BI using Microsoft worldwide sales data between 2014 and 2016.
This project cleans data, creates data relationships, and builds an interactive dashboard with Power BI using Microsoft worldwide compensation data in 2013.
This project scrapes data from Amazon.com, sets up auto price checks, and sends low-price email notifications with Python.
This project summarizes productivity tips on importing, cleaning, and analyzing data with SAS using 200MG to 2GB datasets.