Hi, I am Juan! 😊 A data lover with a background in finance. Yes, I'm that guy who finds spreadsheets and bar charts exciting 📊. I turn data into strategic decisions and sometimes into really bad memes. Welcome to my portfolio, where numbers not only come to life but also try to be funny! 😄

• 💻 Coding: I love diving into code and creating efficient, elegant solutions to complex problems.
• ⚽ Sports: I'm passionate about sports, especially football. Whether playing or watching, football is a big part of my life.
• 🍕 Italian Cuisine: I adore Italian food. From pasta to pizza, I enjoy exploring and cooking Italian dishes.
• 📺 Series and Video Games: I enjoy binge-watching series and playing video games. It's a great way to relax and unwind.
• 🎁 Collecting Funko Pop Figures: I have a growing collection of Funko Pop figures. Each one has a special place in my heart and on my shelf.

Detect fake news using machine learning algorithms

A comprehensive project to identify fake news using various machine learning techniques. This project focuses on text classification and data preprocessing to build reliable models for fake news detection.

Interactive marketing analysis using Power BI and Python for strategic insights.

The objective of this project is to provide an interactive and detailed analysis of key marketing metrics to support strategic decision-making. This includes leveraging both Power BI for interactive dashboards and Python for data analysis, cleaning, and visualization.

Interactive analysis of employee metrics using Power BI and Python for strategic insights.

The objective of this project is to provide an interactive and detailed analysis of key employee metrics to support strategic decision-making. This includes leveraging both Power BI for interactive dashboards and Python for data analysis, cleaning, and visualization.

Optimize bakery production using data analysis and machine learning

A project focused on optimizing bakery production processes through data analysis and machine learning. This involves data manipulation, visualization, and model development for better decision-making.

The Loan Analysis Project aims to analyze a loan dataset to identify patterns and relationships and build a machine learning model to predict loan risk.

The goal of this project is to analyze a loan dataset to identify key patterns and relationships that can help predict whether a loan is at risk or not.

This project is part of a Kaggle challenge to help save the passengers and change history! I build a machine learning model to predict if passengers were transported.

Welcome to the year 2912! Your mission is to predict which passengers were transported using the records recovered from the ship's damaged computer system.

A thrilling game where players need to navigate through a futuristic city to escape from various challenges and obstacles.

Experience the excitement of navigating through a futuristic city filled with challenges and obstacles. Use your skills and strategies to escape and win the game.

Analyze various shark attack data to identify patterns and trends.

This project involves analyzing data related to shark attacks to identify key patterns and trends. The analysis will help understand the behavior of sharks and provide insights into reducing shark attacks.

A collection of various games developed to showcase different game development techniques and technologies.

Explore a variety of games developed using different game development techniques and technologies. Each game demonstrates unique features and gameplay mechanics.

A curated collection of classic games, showcasing timeless gameplay and nostalgic experiences.

Explore a variety of classic games that bring back the charm of old-school gaming. Each game is a tribute to the golden era of video games.

A project to recommend the best electric and solar tariffs for users based on their consumption patterns and preferences.

This project helps users find the best electric and solar tariffs by analyzing their consumption data and preferences to provide personalized recommendations.

If you like my work, consider buying me a coffee!