About me
Freelance data analyst with a nursing background and 5+ years working with real-world health data.I build clean, structured, and insightful solutions using Python, R, SQL, and Shiny.Self-taught and challenge-driven — always open to new tools, domains, and collaborations.
Sample Work
Python, Pandas, Matplotlib, R, Shiny
Maternal Mortality
Cleaned and analyzed over 30 years of data from the World Health Organization to identify regional trends and patterns in maternal mortality.The project involved data wrangling, visual exploration, and the identification of high-risk areas based on structured indicators.The final dashboard allows users to explore mortality rates by country, year, and region.It includes interactive visualizations, comparison tools, and summary statistics, offering an accessible way to analyze global disparities and historical progress in maternal health.
R, ggplot2, cluster, sf
Substance-Related Incidents Dashboard
Building an interactive dashboard to analyze emergency incidents involving substance use and naloxone administration.Includes trend analysis, demographic insights, and a service locator map.Current focus: finalizing data integration and interactive components.
R, Shiny, ggplot2, dplyr, K-means
Infant Mortality: Spatiotemporal Analysis
Analyzed 20 years of infant mortality data across Brazilian states using clustering and spatial statistics.Applied K-Means to identify regional patterns and Global Moran’s I to assess spatial autocorrelation.Created advanced visualizations to highlight disparities and temporal trends.
R, PCA, ggplot2, Hypotesis Tests
Population Aging – Spatial Analysis
Created an aging index by neighborhood using principal component analysis (PCA) and socioeconomic indicators.Conducted hypothesis testing, built decision trees for neighborhood grouping, and visualized results through choropleth maps.Project supported local public health planning for elderly care.
Python, pandas, matplotlib, folium
AI on Ancient Coins – Data Cleaning & Visualization
Cleaned and structured metadata from a dataset of ~95,000 ancient coin images.Generated exploratory plots and built an interactive map with Folium to visualize coin origin by region and mint location.Project developed during Coding.Waterkant 2025 to support object detection training.
© Giulia Sepeda. All right reserved.