Francisco M | Full-Stack Developer | Data Scientist

Francisco M

Full-Stack Developer | Data Scientist

Based in Spain

About

I am a full-stack developer and data scientist with extensive experience in software development, Big Data, and Artificial Intelligence. I specialize in technologies like Java, JavaScript, Spring, SQL, C#, and .NET, actively applying Machine Learning and Big Data techniques to implement large-scale technological solutions.

Skills

Projects

debaite

debaite is an interactive debate platform that leverages OpenAI's GPT-3.5 to facilitate engaging discussions on any topic. Users can participate directly or observe AI-vs-AI debates.

Transform Text into SQL Queries with AI

The application converts natural language questions or instructions into precise SQL queries and instantly returns results based on the database schema. You no longer need to be a SQL expert to retrieve critical insights from your data. Just type your query in everyday language!

ScriptFinder

ScriptFinder is a chatbot that helps users find movie scripts online by entering a film’s name. Users can either download the script in PDF format or ask the chatbot questions about the movie, which searches for relevant information directly in the script.

Drought Detection using Time Series Models

This project focuses on predicting droughts, an increasingly severe issue exacerbated by climate change. By using meteorological data from Spain's AEMET API, we predict the Standardized Precipitation Index (SPI), a key drought indicator, at different time intervals.

Experience

2020-now

SCADA Full-Stack Developer

At Isotrol, I work as a software developer and full-stack engineer, specializing in technologies such as Java, JavaScript, Spring, SQL, C#, and .NET. I am involved in critical projects, implementing large-scale technological solutions. I actively apply Big Data, Artificial Intelligence, and Machine Learning techniques to enhance the efficiency and scalability of our solutions. Additionally, I collaborate with multidisciplinary teams to integrate new tools into existing platforms, ensuring optimal performance and seamless operations.

Education

2015-2019

Software Engineering at US (Universidad de Sevilla)

I completed my degree at Universidad de Sevilla, where I built a strong foundation in computer science and software development. My studies focused on areas such as programming, algorithms, data structures, and database management, which laid the groundwork for my career in full-stack development and software engineering.

2022-2023

Big Data and Data Science at IEBS

At IEBS, I specialized in Big Data and Data Science. My education covered advanced topics such as Machine Learning, Deep Learning, Natural Language Processing (NLP), and cloud computing. I gained hands-on experience with tools like Pandas, Scikit-learn, PySpark, TensorFlow, and platforms such as Google Cloud Platform and AWS, focusing on data-driven decision-making and predictive modeling.