Data Scientist
University of California, Berkeley
Biography
My research interests lie in understanding our world in intersections of the environment, society and technologies. In particular, I’m interested in creating and enabling efficient solutions using the data science toolbox including but not limited to Machine Learning, Deep Learning, Causal Inference & Experimentation, Data Visualizations and Geographic Information System.
I see our complex world as an infinite continuum of connected events that we are constantly trying to understand in order to make informed decisions. As Griffiths Rev. in A world in a grain of sand puts it: ‘The advancing coastline pushed
people inland, forcing local crowding, the mixing of cultures, and, most likely, causing conflict’.
My hobbies can be summed up in 3 words: trying new things. I do believe that life is like a box of chocolate, you never know what you’re going to get.
- Big Data pipeline
- Deep Learning
- Network & Graph
- Experimentation
- Landscape & Environment
- Calisthenics & Olympic Lifting
Master of Information & Data Science, 2021
University of California, Berkeley
B.A in Geography, 2020
University of California, Berkeley
A.A in Social Sciences & Humanities, 2018
Rio Hondo College
Certificate in Automotive Technology, 2017
Rio Hondo College
Projects
Skills
Experience
Use GIS and data science skills to produce rigorous analysis on the nature of gentrification and displacement that support policymaking about equitable development. Use Python to wrangle and analyze urban and social media data, use ArcGIS to visualize results. Develop interactive, online maps from the results of data analysis and develop website content to present our research. Create Python course materials for Urban Data Analytics course to teach other students spatial and network analysis.
Responsibilities include:
- Data Wrangling/Joining/Analysis
- Interactive Map Building
- Spatial & Network Analysis
- Analytics Curriculum Building
Geocoding California statewide traffic collision data for Transportation Injury Mapping System (TIMS) with the goals of reduce the amount of fatalities and serious injury on the roadways.
Responsibilities include:
- Geocoding
- Developing & Updating CA boundary layers
Discover and collect large amounts of employment data of alumni via LinkedIn Sales Navigator to better engage UC Berkeley alumni and identify new donor prospects. Perform query-based requests and analyze publicly available data on candidates to assist supervisor on engagement. Analyze IPOs, recent mergers, companies that experienced unprecedented growth in recent years.
Responsibilities include:
- Data Collection
- Data Storage & Query
Studies
Courses
