Biography

My research interests lie in understanding our environment in term of climate change, societal issues and mobility using tools of data visualization and geospatial information system, machine learning and and cartography.
I enjoy studying the critical human/cultural and physical geography of all landscapes, with a specific interest in mountainous and island nations. My goal is to ceate social impacts through applied applications of my knowledge.
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.

Interests

  • Human Network & Graph Theory
  • Spatial Data Science
  • Landscape & Environment
  • Calisthenics & Olympic Lifting

Education

  • 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

SQL

R

Python

Statistics

GIS

Automotive

Experience

 
 
 
 
 

Principal GIS Engineer

CityStructure

Mar 2021 – Present California

Analyzing spatial data through the use of mapping software/gis libraries. Designing digital maps with geographic data and other data sources. Discovering facts such as elevation models through spatial mapping of data. Creating “shapefiles” to merge topographical data with external data by layering external data over a topographical map. Producing maps showing the spatial distribution of various kinds of data. Performing data wrangling and cleaning to convert data into its desired form. Produce reports on geographic data utilizing data visualizations. Managing a digital library of geographic maps in various file types.

Responsibilities include:

  • Data Warehouse
  • 3D Model
  • Spatial Analysis
 
 
 
 
 

Data Analyst

UC Berkeley College of Chemistry

May 2020 – Present California

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
  • Version Control
 
 
 
 
 

GIS Research Assistant

UC Berkeley SafeTREC Research Center

Oct 2019 – May 2020 California

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
  • Evaluating Test Site & GIS Tools
 
 
 
 
 

GIS Research Assistant

UC Berkeley Urban Displacement Project

May 2018 – May 2020 California

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

Studies

Courses

Applied Machine Learning

Learn and participated in hands-on projects using supervised models KNN, Decision Trees, Regression, Gradient Descent, Neural Networks and unsurpervised models such as Cluster Analysis, Gaussian Mixture, Dimensionality Reduction, Recommender Systems.

Fundamental of Data Engineering

Learn and participated in hands-on data pipeline projects using the clouds. Topics include SQL, Google Cloud Provider, Hadoop, Spark, PySpark, Massive Parallel Processing through (Streaming) Data Transformation.

Geographic Information System

Learn the theory and application of Geographic Information Science/Systems and spatial problems that can be identified and solutions generated. Hands-on laboratory using ArcGIS tools to explore and address contemporary geographical and planning issues.
See certificate

Contact