Recently Published
Examining user-generated text data and sentiment analysis from Reddit threads
This project analyzes user-generated text data from Reddit to explore how readers discuss and respond to the works of Haruki Murakami, one of my favorite authors, whose writing has inspired me to undertake this study.
Murakami has been writing and publishing since the late 1970s, achieving international fame with Norwegian Wood (1987), whose English translations introduced his distinctive blend of magical realism, surrealism, and themes of love, loneliness, and music to a worldwide audience. His literature has historically received mixed reviews - praised for its imaginative storytelling, dreamlike narrative style, and evocative atmospheres, while occasionally critiqued for the perceived emotional detachment in his characters or sometimes the repetition of certain themes.
By combining n-gram analysis, sentiment scoring, and NRC-based emotional categorization, this study aims to identify frequently mentioned book titles, reveal patterns in genre recognition, and highlight both positive reception and critical engagement among readers.
Bike Theft in Vancouver
Clustered data of bike theft in Vancouver, BC in 2021, using data from VPD's open data portal. Made for Lab 7 in GEOS 372 at UBC Vancouver
Major Assignment 3
Major Assignment 3
P4 Modern Portfolio Theory
This project demonstrates a simple application of Markowitz's Modern Portfolio Theory using data from Yahoo Finance. It was developed for the undergraduate course CE451: Quantitative Methods at UNICAMP.
Pesquisa de Bem-Estar Auditivo
A Pesquisa de Bem-Estar Auditivo 2025 capta as percepções, hábitos e conhecimento do público sobre saúde auditiva, com foco nos crescentes riscos do uso prolongado de fones de ouvido. Realizada com diversos grupos etários, a pesquisa explora como os indivíduos valorizam a audição, suas experiências com desafios auditivos e sua abertura a soluções digitais para cuidados auditivos.
Agenda PP
Primer Encuentro Presencial MPPC