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Hey, I’m Caroline, Computer Science undergraduate developing software and data-driven solutions.

I am a software developer and data enthusiast passionate about building technology that makes an impact. With a strong foundation in both software engineering and data science, I specialize in creating scalable web applications and transforming complex datasets into actionable insights.

Currently, I work on the institutional web infrastructure as an Extension Scholar at UFRJ and participate in machine learning and data analysis challenges with the student-led organization UFRJ Analytica. Whether I am architecting interactive dashboards or developing AI-driven solutions, my focus is always on delivering efficient and user-centric results.

Experience

Aug 2026 — Present

Extension Scholar | UFRJ (PR-5)

Develop and maintain the infrastructure for institutional web portals. Provide technological support and ensure the stability of platforms for major academic events, such as SIAC.

WordPressHTMLCSSJavaScriptMySQLPHP
Sep 2025 — Dec 2025

Competitive Team Member | UFRJ Analytica - Data League

Participate in practical projects, hackathons, and competitions focused on Data Science, Analytics, Machine Learning, and AI. Apply exploratory data analysis (EDA) and data wrangling techniques to clean and process complex datasets using Python

PythonSQLiteGoogle CloudAPI
Sep 2025 — Dec 2025

IT Intern | Super Centro Carioca de Saúde

Developed Vue.js interfaces for the institutional healthcare system. Built KPI dashboards integrated with PostgreSQL to support operational decisions and data governance.

Vue.jsPostgreSQLJavaScriptPython
Jan 2023 — Jun 2023

Extensionist | UFRRJ (Census Project)

Processed and cleaned health monitoring datasets using Python (Pandas) and REDCap. Automated data transfers to MySQL, optimizing research workflows.

PythonMySQLREDCap
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Projects

Rio de Janeiro Urban Analytics Dashboard

Interactive urban metrics and mobility dashboard utilizing public datasets from Data.Rio. Built data pipelines with Python, implemented relational storage in PostgreSQL, and integrated with Power BI for visualization.

PythonPostgreSQLPower BIReactTypeScript

AI-Powered Movie Recommender

Recommendation engine leveraging Graph Theory and AI. Constructs similarity networks based on TMDB database API metadata and integrates with Google Gemini to translate mathematical logic into a modern web interface.

TypeScriptReactAIGraphsAPI
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Contact

You can reach me via email at carolineynomura@gmail.com or see my code on Github.