Backend & Data-Oriented Developer in Training
Focused on JavaScript, Node.js, SQL, Python, data analysis and relational database design.

I am building a technical portfolio that connects my background in healthcare, customer support and education with my current path in backend development, data analysis and databases.

My current focus is learning by building real projects: REST APIs, public data analysis, SQL database design and technical documentation.

• Transitioning into tech with a strong interest in backend, data and databases.
• Background in healthcare, customer service, technical support and education.
• Focused on SQL, Python, JavaScript, Node.js, PostgreSQL and MySQL.
• Interested in data analysis, business analysis, backend systems and health-tech projects.
• Building portfolio projects with real-world data, database design and clear documentation.
• Open to junior / trainee opportunities in Data Analysis, Business Analysis, Backend Development, IT Support and technical roles.

• JavaScript
• Node.js
• Express.js
• REST APIs
• API validation
• Error handling
• Postman

• Python
• Pandas
• NumPy
• Matplotlib
• Jupyter Notebook
• Exploratory Data Analysis

• SQL
• PostgreSQL
• MySQL
• Relational database design
• Data modeling
• Primary keys and foreign keys
• Constraints, views and indexes

• Git
• GitHub
• VS Code
• MySQL Workbench
• pgAdmin
• Command line / terminal

REST API for multi-tenant appointment scheduling built with Node.js, Express and PostgreSQL.

This project focuses on backend architecture, relational data modeling, business rules, request validation, error handling and technical documentation.

What it shows:

• REST API development
• Layered architecture
• PostgreSQL schema design
• Multi-tenant logic with clinic_id
• API validation
• Error handling
• Smoke tests and CI basics

Repository: scheduling-api

Exploratory data analysis project using Python, Pandas, NumPy and Matplotlib to analyze healthcare facilities in Argentina based on public open data from REFES.

This project connects my healthcare background with data analysis, focusing on data cleaning, aggregation, visualization and interpretation.

What it shows:

• Data cleaning with Pandas
• Exploratory Data Analysis
• Public health data analysis
• Missing values and duplicate checks
• Data visualization with Matplotlib
• Analytical interpretation and documentation

Repository: health-facilities-analysis-argentina

Relational database design project for a rehabilitation clinic using MySQL.

This project models patients, professionals, specialties, treatment plans, therapy goals, appointments, session notes and evaluations.

What it shows:

• MySQL database design
• Relational modeling
• Normalization
• Primary and foreign keys
• CHECK and UNIQUE constraints
• Analytical SQL queries
• Views and indexes
• Healthcare domain modeling

Repository: rehab-clinic-database-design

My current portfolio is built around three connected areas:

Together, these projects show that I can:

• Build backend APIs.
• Work with relational databases.
• Analyze real-world datasets.
• Document technical decisions.
• Translate healthcare domain knowledge into technical projects.
• Learn and apply tools through hands-on practice.

• Advanced SQL and relational database modeling
• Python for data analysis
• Backend development with Node.js and Express
• PostgreSQL and MySQL
• Data cleaning and exploratory data analysis
• Technical documentation
• Business and data analysis foundations

I am developing a hybrid profile that combines:

• Backend development
• Data analysis
• SQL and database design
• Healthcare domain knowledge
• Technical documentation
• Problem solving and user-centered thinking

I am especially interested in roles where I can use data and technology to understand problems, improve processes and build useful solutions.

• LinkedIn: linkedin.com/in/savina-gabba
• GitHub: github.com/gabbaSavina

⭐ Always learning, always building.