Hi, I'm Jersey!

Applied Physics | Data Enthusiast | Researcher

Applied Physics fresh graduate passionate to learn more about the real-world applications of data science and AI. Determined to make an impact by providing data-driven insights for organizations and communities. Experienced in analyzing real business data using SQL and familiar in building machine learning models using Python.


Education & Experience

Algo Filipino

Content Creator

  • Writes content and caption for posts and publication materials in Filipino/Tagalog
  • Edits and proofreads Algo Filipino documents in Filipino/Tagalog
  • Designs publication materials for social media posts and maintains the organization’s brand identity
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UP Data Science Society

Branding and Creatives

  • Responsible for creating publication materials for social media posts
  • Part of the Brandbook Team, Workshops Team and Projects Innovations Team
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Structure and Dynamics Group

Student Researcher

  • Experience in computational and mathematical modelling and analysis using Python, Fortran and MATLAB
  • Presentation of research progress and findings every semester to the research laboratory group
  • Weekly research meetings with Ph.D adviser to assess research progress and discuss future work
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BS Applied Physics

University of the Philippines Diliman

Student under the National Institute of Physics, College of Science. My current research deals with statistical and thermal physics models such as the Ising model and percolation.

  • University Scholar (1st Sem AY 2019-2020, 2020-2021)
  • College Scholar (1st Sem - 2nd Sem AY 2018-2019)
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BA Journalism

University of the Philippines Diliman

Became a student at the College of Mass Communication before shifting to the College of Science during my 2nd year at college

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What I Can Do

Research

Experience in a research heavy field using scientific tools and methods for problem-solving

Computational Methods & Analysis

Capable of investigating mathematical models using Python and MATLAB

Data Analysis

Have some experience in performing EDA and statistical analysis on datasets

Python Programming

Comfortable in using Python to write programs and automate tasks



MySQL

Have a good grasp in writing SQL queries to extract and analyze information

Microsoft Excel

Experienced in creating and analyzing datasets using Excel and Spreadsheet

Technical Writing and Presentation

Developed good quality writing and presentation skills of scientific reports

Graphic Design

Skilled in building design projects using Photoshop, Illustrator, InDesign and Canva

What I'm Up To




Online Portfolio
project1
A simple online portfolio created using HTML, CSS, Bootstrap and Javascript
Recommender System
project2
A book recommender system capable of selecting books based on current mood
Matchmaker
project3
Similar to a dating app system but have other options for particular matches (e.g. friends, buddy-read, hackathon teammates)


Boston Crime Analysis
project4
Analyzed a crime dataset using geospatial analysis in Python
COVID-19 Data Analysis
project5
Analyzed data and created visualization for the daily cases and deaths from COVID-19 in NCR.
Twitter Text Analysis
project6
Scrape tweets and user data before and during the pandemic to compare Filipinos' response and needs

Courses, Conferences & Competitions

Courses & MOOCs

Applied Physics 186
  • Built Machine Learning models in Python
Managing Big Data with MySQL
  • Learned how to use and build entity-relationship diagrams and relational schemas to better understand database structures
  • Learned about the fundamentals of SQL and how to use joins to built complex queries
  • Data analysis of real, uncleaned business datasets with millions and more than a hundred million rows using MySQL and Teradata
Neural Networks and Deep Learning
  • Learned about the fundamentals of logistic regression, neural networks, activation functions and gradient descent
  • Implemented neural networks from scratch using Python
Improving Deep Neural Networks: Hyperparamter Tuning, Regularization and Optimization
  • Learned about the different algorithms and techniques (e.g. dropout regularization, gradient descent with momentum, batch normalization, etc.) to further optimize the deep learning model
  • Implemented algorithms and techniques using Python and Tensorflow
Intoduction to Machine Learning
  • Learned the basics and concepts of supervised and unsupervised machine learning models such as logistic regression, CNN and RNN
  • Lab exercises implemented ML models using PyTorch
Ecology: Ecosystem Dynamics and Conservation
  • Viewed the problem of conservation and environmental issues using a system-level thinking approach
  • Learned how the ecosystem and its conservation are closely linked to human behavior, culture and social systems

Conferences & Publications

Proceedings of the 38th Physics Society of the Philippines

Presented a short virtual presentation of our research paper

Cluster behavior in a finite 2D Ising model with central blocked regions

JDT Ganding and RS Banzon, Cluster behavior in a finite 2D Ising model with central blocked regions, Proceedings of the Samahang Pisika ng Pilipinas 38, SPP-2020-4G-03 (2020). URL: https://proceedings.spp-online.org/article/view/SPP-2020-4G-03.

Competition & Scholarships

AWS Machine Learning Scholarship Program 2021

The scholarship offers a seat in the AWS MLE Foundations course in Udacity and scholars can have the chance to be selected for Udacity's full AWS Machine Learning Engineer Nanodegree Program.

SPARTA Project Scholar

Currently taking the Data Science Pathway

StackLeague 2021

A year-round programming competition