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.

Interests
  • Big Data pipeline
  • Deep Learning
  • Network & Graph
  • Experimentation
  • 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

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All Mobility Environmental Data Science Design GIS Animal Statistics Machine Learning Privacy Deep Learning
Saving the Rhino Hermes
We worked with WildTrack NGO to develop a POC and pipeline for wildlife detection & notification system using deep learning & drone footage.
Saving the Rhino Hermes
A Tree-based Prediction of Flight Delays
Given weather and flight data, will a flight be at least 15 minutes delayed?
A Tree-based Prediction of Flight Delays
Re-identification on Anonymously Reported Salaries
Can the quasi-identifiers in Levels be leveraged to perform an identity disclosure attack?
Re-identification on Anonymously Reported Salaries
Regression to Study the Spread of Covid-19
Using Kaiser Family Foundation and state policy database for Covid-19 data to study a causal question with Ordinary Least Squared regression.
Regression to Study the Spread of Covid-19
San Francisco Sea Level Experiment
Using bootstrap methods to find out if sea level in San Francisco actually increased as previously accepted in academia.
San Francisco Sea Level Experiment
Terrorism & Travel
Will we travel less in the age of Terrorism? external_link.
Terrorism & Travel
Birdstrikes - Where Are Birds Going?
Using Federal Aviation Adminstration, flight and temperature data to study the pattern of bird strikes and bird migration.
Birdstrikes - Where Are Birds Going?
Sudoku A Python Game
Built a Sudoku game based on object oriented programming principles
Sudoku A Python Game
AZ-Lyrics Redesign
A practice of user experience design using front end languages HTML, CSS, Javascript external_link.
AZ-Lyrics Redesign
Costa Rica Egg Poaching
An examination into the illegal activities in Costa Rica external_link.
Costa Rica Egg Poaching
Environmental Inequality in Kern County
A closer look at water and air pollution in the largest fossil fuel production site in California external_link.
Environmental Inequality in Kern County
Eviction and Tech Shuttles
Are wrongful evictions happening near tech bus stops? What is going on? external_link.
Eviction and Tech Shuttles
Geographic Information System
A compilation of my GIS works
Geographic Information System

Skills

SQL
R
Python
Statistics
GIS
Automotive

Experience

 
 
 
 
 
GIS Research Assistant
UC Berkeley Urban Displacement Project
May 2018 – May 2019 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
 
 
 
 
 
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
 
 
 
 
 
Data Analyst
UC Berkeley College of Chemistry
May 2020 – May 2021 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
 
 
 
 
 
Data Engineer Intern
CrowdStrike
Sep 2021 – Present California
Work on big data machine learning pipeline and infrastructure with senior data engineers.

Studies

Courses

Deep Learning in the Cloud and at the Edge
UC Berkeley May 2021 – Aug 2021
Learn practical approaches to deploy deep learning models on the cloud as well as edge devices such as the NVIDIA Jetson NX. Learn microservice applications and network communications like Kubernetes and MQTT, GStreamer
Experimentation and Causal Inference
UC Berkeley May 2021 – Aug 2021
Design, implement, and analyze our own field experiment, A/B testing, quantify uncertainty using confidence intervals and statistical power calculations to answer causal questions
Machine Learning at Scale
UC Berkeley Jan 2021 – Apr 2021
Learn to build large scale end-to-end ML pipeline using Databricks. Learn MapReduce parellel computing in environments such as Spark and Hadoop. Develop algorithms such as decision tree, pagerank and gradient descent
Privacy Engineering
UC Berkeley Jan 2021 – Apr 2021
Learn different threat models: attribute disclosure, identity disclosure, membership disclosure. Learn privacy desgin frameworks such as K-anonymity, L-diversity, T-closeness, Delta-presence, Differential Privacy. Learn privacy-utility tradeoffs
Applied Machine Learning
UC Berkeley Aug 2020 – Dec 2020
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.
Geographic Information System
UC Berkeley Aug 2018 – Dec 2019
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

Recent blogs

Australian Wildlife Blog
Which wildlife do you see? This is a collection of the wildlife I've seen and photographed in Australia. The purpose of this blog is to study wildlife, to observe their traits & behaviors.
Last updated on Jun 10, 2021 13 min read
Australian Wildlife Blog

Contact