Hi! I'm José Lucas, passionate about programming and everything that involves precise analysis and creativity.

• I'm from Rio ⛱️
• 📚 Graduated in Economics from UFRRJ
• 📊 Deeply interested in and committed to learning data science tools
• 🤖 Working on projects involving machine learning, interactive and clear data visualization 📈, and generating precise and innovative insights 💡

• In my free time, I either play the guitar or act as a midfield dynamo for the team. ⚽🎸

In this profile, you'll find various projects involving data analysis and data science. I use economic and financial data, econometric modeling (machine learning), and lots of code to achieve this 😉🫡

Focused on data analysis and statistical modeling using programming tools.

• Impacts of Innovation and Economic Freedom on Per Capita Income: 🌍 A regressive analysis exploring how innovation metrics and economic freedom indices correlate with per capita income across different countries. This study provides insights into the factors driving economic growth and prosperity.

• Correlation between Selic Rate and Inflation in Brazil over time: 📊💹 A time series analysis examining the relationship between Brazil's benchmark interest rate (Selic) and inflation (IPCA) over time. This project highlights the poor absorption of monetary policy by the Brazilian economy.

• Analysis of Brazilian Retail Companies: I analyze companies in the sector based on their financial data to understand their challenges (their battles against Asian online platforms). Spoiler: it's an Asian massacre that can only be contained with external intervention (government)!🤫😉

• Predictive Model of Stock Prices: A machine learning model designed to predict a company's share prices. It's a simple model that I intend to delve into further. However, this project does not fail to demonstrate the application of advanced statistical techniques and AI in financial forecasting.

• Cryptocurrency Price Analysis: 📈💰 An analysis of prices for major cryptocurrencies using the yfinance library. This project examines the volatility and profitability of cryptocurrencies over time, highlighting their unique characteristics compared to traditional assets. It includes performance analysis, volatility studies, and insightful comparisons between cryptocurrencies and traditional companies.

• Portfolio Returns Simulation: A simulation tool for portfolio returns.

Focused on economic analyses using economic theory and statistical analysis tools.

• Predicting Brazil's Inflation in 2024 🪙💸 An econometric model aimed at forecasting Brazil's inflation rate for 2024. This project combines economic theory, statistical analysis, and machine learning techniques to provide insights into future economic conditions.

A collection of diverse Python projects showcasing creativity and coding skills, including game development and other innovative applications.

Remember: The truth is not in opinions, but in data 😉

Paz 🖖🌟