Data Scientist with strong background in Mathematics.
I am passionate about creating technological solutions and
extracting insights from data that solve real-world problems and add value to both companies and their users.
How about connecting with me on the social media platforms below to learn more about my work?
Hello, I'm Ricardo André, a passionate data scientist with a love for technology and creative solutions. With 2+ years of professional experience in data science within the banking sector, I have had the opportunity to work with diverse technologies and platforms to develop robust and scalable solutions tailored to meet the needs of different projects.
I am currently a Data Scientist at Novobanco's Model Validation team. In my free time, I also work as a freelance data scientist, delivering data-driven and software solutions for clients, as well as offering online tutoring. Additionally, I'm collaborating with a football club, where I'm developing data-driven scouting reports and methodologies.
I love the challenge of finding innovative and creative solutions to complex problems, and I am always seeking to learn and grow as a professional and as a person.
Discover the skills and tools I master as a data scientist, enabling me to create creative and functional solutions and insights for businesses.
Experience in EDA, using statistical techniques and visualization to extract meaningful insights.
Knowledge of ML/AI algorithms to develop predictive models. Experience with Scikit-learn, TensorFlow, PyTorch frameworks.
Experience using data visualization tools like Tableau, Power BI to create interactive charts and dashboards for communicating data findings and analysis results.
Proficient in Python, R and SQL for data manipulation, analysis, ML/AI, task automation, and script development.
From abstract concepts to successful projects, here are a few examples of my work in free time.
A Python-based tool that generates detailed scouting reports for football players using data scraped from FBref. The reports include player stats, strengths, weaknesses, and comparisons with similar players. AI-generated insights are formatted into a professional HTML document, which is then converted into a PDF for easy sharing.
Streamlit app that performs real-time web scraping and generates radar charts to display player percentiles. This app provides powerful visual insights, allowing users to compare players across various skill categories, making it a valuable tool for comprehensive player analysis and performance evaluation.
This tool connects to a comprehensive database, featuring sections for data quality analysis and statistical insights. It also includes a powerful query feature powered by LLMs, allowing users to ask natural language questions about the data. The tool responds with detailed answers, including the Python code behind the query, providing transparency and enabling further customization.
This project is a real-time stock analysis application built with Streamlit and integrated with YFinance for retrieving live stock data. The app analyzes stock prices using technical indicators such as moving averages, Bollinger Bands, and RSI. It also compares stock performance to the Dow Jones index to provide more comprehensive insights. Additionally, it uses natural language processing through Ollama's LLM model to generate real-time, easy-to-understand financial insights. The project includes a video demo showcasing the functionality, such as how the app updates live and provides analysis every minute.
This dynamic tool enables me to closely monitor the sales performance of an online store. 💻📊 This dashboard not only helps me track sales and business growth but also helps me gain a deeper understanding of customer behavior, popular products, and seasonal trends. 📈💡
Leia mais →This project is a rental management application for car rental companies, developed using Python and SQL with a SQLite database. The app allows customers to register, log in and log out, and make vehicle reservations. Additionally, users can modify or cancel their reservations with ease.
I developed a Streamlit app that leverages the power of Monte Carlo simulation to predict future stock prices. It allows users to input stock ticker symbols and run the Monte Carlo simulation in real-time to see the potential future prices of the stocks.
Leia mais →This project was inspired by my love for classic games and my admiration for Cristiano Ronaldo. Tetris CR7 Edition is a personalized version of the timeless Tetris game, where every time a player clears a line, the iconic "SIUUU" celebration plays, adding both fun and challenge to the experience, especially at higher levels. The project was developed in Python, applying object-oriented programming concepts and simple graphics manipulation.