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 📈💪
• 📚 I'm currently studying Systems Analysis at FAETERJ
• 🤖 Working on projects involving machine learning, interactive and clear data visualization, and generating precise and innovative insights 💡

• In my free time, I play as a creative/box-to-box midfielder ⚽💪

• 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.

• 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)!🤫😉

• Firearms and Violence: A Multifaceted Analysis of the Relationship between Gun Ownership and Homicide in the Global Context:🔫 The final objective of this part of the project is to group countries via KMeans machine learning based on the similarity of 3 characteristics: population size, deaths (per 100k inhabitants) and gun ownership (100 inhabitants) and to analyze the characteristics of each of them.

• Sentiment Analysis: That project using naive bayes machine learning modeling to analyze the sentiments of multiple sentences about a product/service.

• 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.

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 🖖🌟