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I'm Francisco, a Bioinformatics student passionate about building software and data-driven solutions for scientific and real-world problems.
My interests span backend development, data analytics, and computational biology, with a growing focus on healthcare and life sciences.
I am a Bioinformatics student with a multidisciplinary background in life sciences, clinical research, data analytics, data science, and software development.
My experience in healthcare and regulated environments has strengthened my analytical thinking, attention to detail, and ability to work with complex and data-driven processes. Alongside my professional experience, I develop projects that combine data analysis, computational biology, and software engineering.
I enjoy using technology to solve real-world problems, whether by analyzing and visualizing data with Python and SQL, developing software and APIs, or applying computational methods to biological and scientific problems. I am particularly interested in opportunities at the intersection of data, technology, healthcare, and life sciences.
Python | SQL | Power BI | Tableau | Excel | DAX | Pandas | NumPy | Matplotlib
Biopython | Sequence Analysis | AIUPred
Java | Spring Boot | REST APIs | PostgreSQL | Docker
Git | Maven | Jupyter
- Google Data Analytics Professional Certificate (2026)
- Oracle Next Education (ONE) Program (2023)
- Building REST APIs with Spring Boot
- Improving software architecture and backend design
- Deepening SQL and database optimization skills
- Applying Python to bioinformatics and data analytics
- Spring Security
- Backend Testing
- Flyway
- Docker
- Database Optimization
A selection of projects showcasing my experience in backend development, data analytics, and bioinformatics.
End-to-end clinical trials analytics and data science project built using data from ClinicalTrials.gov.
The project transforms clinical trial data from its original hierarchical API structure into a relational PostgreSQL database and uses it for exploratory analysis, visualization, statistical analysis, machine learning, and NLP.
- Explored and validated ClinicalTrials.gov API data and its structure.
- Designed a relational data model for clinical trial information.
- Built a PostgreSQL database schema with normalized entities and relationships.
- Developed data ingestion and transformation workflows.
- Performed SQL-based analytical queries and exploratory data analysis.
- Planned Power BI dashboards to analyze clinical research trends.
- Applied statistical analysis, machine learning, and NLP techniques to clinical trial data.
Technologies: Python, Pandas, PostgreSQL, SQL, Power BI, Scikit-learn, NLP, Git
Repository: GitHub
Full-stack bioinformatics platform for protein sequence analysis, combining computational biology workflows with modern web technologies.
The project integrates a React frontend, Spring Boot backend, and Python-based analysis service to process FASTA sequences and store biological analysis results.
- Built a complete full-stack architecture connecting frontend, backend, and bioinformatics services.
- Developed REST APIs using Spring Boot for protein analysis management.
- Implemented FASTA sequence processing and physicochemical protein calculations using Python and FastAPI.
- Designed PostgreSQL persistence using JPA/Hibernate.
- Created a React + TypeScript interface for uploading sequences and exploring analysis results.
- Applied layered architecture principles across backend components.
- Containerized development environment using Docker.
Technologies: React, TypeScript, Tailwind CSS, Java, Spring Boot, Spring Data JPA, Hibernate, PostgreSQL, Python, FastAPI, Biopython, Docker
Repositories:
RESTful API built with Spring Boot for managing brewery recipes and ingredients.
- Designed a RESTful API following a layered architecture.
- Modeled many-to-many relationships using JPA/Hibernate.
- Implemented DTO-based request and response handling.
- Containerized the application with Docker and PostgreSQL.
- Introduced Flyway migrations for database version control.
- Built centralized exception handling for consistent API responses.
Technologies: Java, Spring Boot, Spring Data JPA, Hibernate, PostgreSQL Database, Docker, Docker Compose, Flyway, Maven, Lombok
Repository: GitHub
End-to-end analytics project focused on customer retention and revenue-risk analysis.
- Processed and cleaned raw customer data using Python.
- Built customer tenure cohorts to identify churn patterns.
- Developed an interactive Power BI dashboard.
- Estimated more than $4M in potential revenue at risk based on churn analysis.
- Generated actionable recommendations to support retention strategies.
Technologies: Python, Pandas, NumPy, Power BI, DAX
Repository: GitHub
End-to-end bioinformatics workflow for protein sequence analysis and disorder prediction.
- Processed and analyzed multiple sequence alignments (MSA).
- Computed sequence identity and amino acid frequency statistics.
- Estimated hydrodynamic radius and charge-related properties.
- Integrated AIUPred-based intrinsic disorder predictions into protein sequence analysis workflows.
- Produced reproducible analyses and visualizations in Python.
Technologies: Python, BioPython, LocalCIDER, AIUPred, Matplotlib
Repository: GitHub
Academic project focused on developing a cinema ticket reservation system, applying object-oriented programming concepts and software design principles.
- Designed a complete reservation workflow for movies, schedules, rooms, and seats.
- Implemented user registration and validation logic.
- Developed business rules for seat availability, age restrictions, and ticket purchasing.
- Structured the application using modular components to improve maintainability.
- Applied object-oriented programming concepts for system modeling and management.
Technologies: Python, Object-Oriented Programming, Data Structures
Repository: GitHub
Desktop calculator application developed in Java implementing the Model-View-Controller (MVC) architectural pattern.
- Separated application logic, user interface, and event handling using MVC principles.
- Implemented arithmetic operations and input validation.
- Developed an interactive graphical interface using Java Swing.
- Applied clean code practices and object-oriented programming concepts.
Technologies: Java, Java Swing, MVC Pattern
Repository: GitHub
My professional experience spans clinical research, project coordination, logistics, and technical support. Working in regulated healthcare environments has strengthened my attention to detail, process compliance, and analytical problem-solving.
These experiences complement my technical background and influence how I approach software development and data analysis projects.
Thanks for visiting my profile!
Feel free to explore my projects or connect with me on LinkedIn if you'd like to discuss backend development, data analytics, bioinformatics, or opportunities in science and healthcare.