Spark!Bytes
In-Class Project | September — December 2025
Spark!Bytes is a full-stack platform designed to reduce food waste at Boston University
by connecting students with surplus food from campus events. The application allows
organizers to post events and students to browse, reserve, and manage food pickups
through a secure and user-friendly interface.
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Built a responsive frontend using Next.js and React with authentication,
role-based access control, and dynamic event pages
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Developed a FastAPI backend integrated with Supabase for authentication,
database management, and admin workflows
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Implemented automated testing using Pytest (backend) and Jest with React Testing Library (frontend)
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Containerized the backend with Docker and deployed the application using modern cloud tooling
Live Links:
Backend API
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Frontend Deployment
Nasdaq-100 ARIMA–GARCH Time-Series Model
In-Class Project | September — December 2025
Built and evaluated an ARIMA–GARCH model to analyze daily Nasdaq-100 log returns (2003–2019),
focusing on short-run return dynamics and volatility clustering during calm and turbulent market periods.
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Pulled and preprocessed historical Nasdaq-100 data, transformed prices to log returns, and validated stationarity
using ADF, PP, DF-GLS, and KPSS unit root tests
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Selected the ARMA mean specification using AIC/BIC and ACF/PACF diagnostics to capture short-run dependence in returns
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Detected ARCH effects with Engle LM and Ljung–Box tests on squared residuals, motivating conditional variance modeling
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Estimated and compared ARCH/GARCH specifications, validated model adequacy using squared standardized residual diagnostics,
and visualized conditional volatility over time
Application Atlas
Personal Project | May 2025 — Present
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Designing and developing a centralized platform to help high school students track college applications
across systems like Common App, ApplyTexas, and Questbridge
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Integrating an AI-powered chatbot trained on college advising best practices, offering personalized guidance
on essays and financial aid, including FAFSA, CSS Profile, TASFA
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Prioritizing accessibility and equity by creating a student-first interface with a mobile-friendly design
and built-in support for underprivileged communities
Personal Website
Personal Project | May — August 2025
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Developed a clean, static website using HTML and CSS to showcase academic background, projects, and
leadership experience
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Demonstrated front-end design, content organization, and branding skills to create a professional online
presence for networking and career growth
Fake News Inspector
In-Class Project | January — May 2025
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Developed and fine-tuned a RoBERTa-based text classification model using Hugging Face Transformers to
detect fake news, demonstrating proficiency in NLP, PyTorch, and model evaluation techniques
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Engineered a full-stack Flask application with interactive visualizations and a user-friendly UI for
inspecting model predictions, combining backend development with frontend integration
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Improved data preprocessing and training efficiency by implementing stratified splits, optimizing training
arguments, and contributing to reproducibility through GitHub workflows and dependency management
Study Spot Finder
In-Class Project | April — May 2025
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Designed and developed a full-stack Django web application that enables students to recommend, review, and
discover study spaces, fostering community-based decision-making and resource sharing
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Implemented robust user features including authentication, friend networks, favoriting, and dynamic forms
using Django views, models, and templates, demonstrating strong backend and frontend integration skills
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Built customizable filtering and search functionality for study spots by neighborhood, showcasing proficiency
in data querying, clean UI design, and user-centric problem solving
Panel Analysis of Relation Between Income Inequality and Internet Access
In-Class Project | March — May 2025
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Applied advanced econometric techniques including fixed effects modeling, Hausman testing, and joint F-tests
to evaluate the relationship between internet access and income inequality across countries using unbalanced
panel data
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Cleaned, structured, and analyzed large-scale cross-national datasets from World Bank Database using Stata,
demonstrating proficiency in data wrangling, variable transformation, and statistical interpretation
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Identified a statistically significant but modest relationship between internet access and income inequality
using fixed effects regression, showing that a 1% increase in internet penetration is associated with a
0.048-point decrease in the Gini index
Student Spender
In-Class Project | October — December 2024
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Co-developed a full-stack budgeting web app for study abroad students using Flask, JavaScript, and SQLite,
with features including user authentication, expense tracking, and personalized budget planning via OpenAI API
integration
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Led backend and database development, optimizing data models and queries, managing user sessions, and resolving
performance issues through exception handling and debugging
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Enhanced collaboration and deployment through Git/GitHub version control, Docker containerization, and frontend
testing with Playwright to ensure a seamless and reliable user experience
Compiling Immigration Raid Reports
Cross-College Challenge (XCC) | October — December 2023
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Collaborated with Spark! at the BU Center for Computing & Data Sciences and the Center for Innovation in Social
Sciences (CISS) to compile immigration raid reports, combining data science and social research to support
immigrant rights advocacy
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Used the Google Search API and the gnews Python package to collect news coverage of immigration raids, then
cleaned and standardized the data using Python and pandas for structured analysis
Econometric Investigation of Correlation Between Economic Output and Education Expenditure
In-Class Project | October — December 2023
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Applied advanced econometric techniques in Stata, including multiple linear, log-linear, polynomial, and
log-polynomial models, to examine the relationship between GDP per capita and education expenditure relative
to GNI using unbalanced panel data
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Cleaned, transformed, and analyzed World Bank data to ensure accuracy and comparability across countries,
demonstrating strong command of data wrangling, model selection, and empirical evaluation
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Produced reproducible, policy-relevant insights supported by regression diagnostics and accessible visualizations,
revealing a diminishing positive relationship that reverses beyond the 4.15 percent GNI expenditure threshold
The Untold History of Filipino Nurses Immigrating to the United States
Research Publication | February — August 2023
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Conducted historical research exploring the migration of Filipino nurses to the United States during the 20th
century, centering the experiences of my mother and combining archival sources with personal interviews
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Analyzed cultural, economic, and geopolitical factors shaping the Filipino nursing diaspora, highlighting the
commercialization of nursing education and challenges faced by immigrant healthcare workers in the US
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Published findings in Kaleidoscope, the undergraduate research journal of BU's Kilachand Honors College,
presenting a narrative-driven investigation that connected personal storytelling with broader discussions
of immigration and equity within the nursing profession
Chummy Education
Freelance Work | May — September 2022
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Collaborated on a research project led by a Northeastern University EdD candidate, supporting data
collection on how access to resources influences high school students' engagement with social justice topics
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Designed and built a user-friendly Wix website to serve as a digital library, curating multimedia resources on
issues such as LGBTQIA+ rights, climate change, and financial literacy for use in educational settings
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Leveraged web design and content strategy to promote youth empowerment and civic engagement, demonstrating a
commitment to using digital tools for education and social impact
