This project reverse engineers Etsy's recommendation system through scenario design analysis and hands-on platform observation. I examine how Etsy balances buyer personalization with seller visibility in a marketplace built on uniqueness and craftsmanship. Through direct interaction as a new user, I documented personalization emerging within 10 minutes and identified a likely 80/20 split favoring content-based filtering (aesthetic matching, visual similarity) over collaborative filtering (popularity signals). Drawing on Amazon and NYT's documented approaches, I provide strategic recommendations for improving user control, seller fairness, and discovery. This analysis demonstrates skills in algorithm analysis, multi-stakeholder thinking, and ethical ML system design relevant to e-commerce and marketplace platforms.

Este informe analiza la base de datos BD Comparendos OK$.xlsx (2120 registros). Se presentan las características principales, estadística descriptiva y visualizaciones para apoyar la interpretación de los datos.

Taller replica no.1 Corte 4

Este informe presenta un análisis descriptivo de la base de datos de comparendos del año 2010, explorando patrones por tipo de vehículo, género del infractor, infracciones más frecuentes y montos económicos asociados. A través de visualizaciones elaboradas en R con ggplot2 y tidyverse, se identifican las conductas más comunes en materia de tránsito, los meses con mayor registro de sanciones y el impacto económico de las multas impuestas. El estudio busca ofrecer una visión general de la movilidad y cultura vial, aportando información útil para la gestión pública y la prevención de infracciones.

Just a leaflet map centered in London

This presentation explores regional disparities in family violence across Victoria using data from the Crime Statistics Agency (CSA). It visualizes incident rates per 100,000 population at the Local Government Area (LGA) level from 2021 to 2025, highlighting where risks are rising, stable, or declining. Interactive plots and summaries reveal patterns across police regions, helping to uncover the hidden geography of family violence and inform policy and community awareness.