OlivePrice Insights
Application designed to scrape and analyze historical olive oil prices, turning raw market data into clear trend views and practical statistics.
Tech Stack: Python, Selenium, Pandas, NumPy, Matplotlib, Seaborn, scikit-learn
AlonsoJiménezFlores
I am Alonso Jiménez Flores, a Computer Engineering student based in Seville (Spain) with a strong interest in full-stack web development, machine learning, and data science.
I enjoy building products that combine clean engineering, thoughtful UX, and practical problem-solving. My focus is on turning solid technical foundations into software that is useful, fast, and easy to trust.
Skills
Programming Languages
PythonJavaJavaScriptTypeScriptC/C++C#R
Web Development
HTMLCSSTailwindNode.jsReactNext.jsFastAPIDjangoFlaskJWTWebSockets
ML / Data Science
PandasNumPySciPyscikit-learnTensorFlowPyTorchOpenCV
Tools & Databases
GitGitHubDockerSeleniumPostgreSQLOracle SQLSQLiteMongoDBFirebase
Projects
SlimeAI
Interactive reinforcement learning demo where two slime agents improve through self-play in a competitive Gymnasium-style environment.
Tech Stack: Python, Flask, Stable-Baselines3, Gymnasium, PyTorch, Socket.IO
Animal Detector
CLI tool powered by YOLOv8 to identify animals in images and export processed results with bounding boxes around detected classes.
Tech Stack: Python, OpenCV, YOLOv8, NumPy
More experiments and product work will be added here as the portfolio grows.
FAQ
I enjoy projects where engineering quality matters: full-stack products, data-driven tools, machine learning prototypes, and technical interfaces that need to feel fast, clear, and reliable.
Yes. I am open to freelance opportunities, technical collaborations, and internships where I can contribute across product thinking, implementation, and iteration.
My strongest stack is Python and JavaScript-based development, especially with Next.js, React, Flask, FastAPI, data science tooling, and practical ML frameworks.
No. I also work on automation, data analysis workflows, computer vision experiments, reinforcement learning demos, and command-line tools when the problem calls for them.
Email is the most direct option for project discussions. LinkedIn also works well if you want to reach out for collaborations, opportunities, or a quick introduction.
Contact
If you'd like to work together or discuss a project, you can reach me on LinkedIn or by email at alonsojf17@gmail.com. I'll get back to you as soon as possible.
