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💫 About Me:

Hey there! 👋 I'm Pablo, a passionate and driven Data Science Engineering student with a deep curiosity for the world of finance and machine learning. My mission is to combine my knowledge of data science with my love for the financial markets to build impactful projects and gain valuable insights.

🔭 Currently on a mission:
I’m working hard to build my first real-world project that integrates machine learning and finance. I want to dive into predictive models, quantitative analysis, and algorithmic trading to explore how data science can revolutionize the finance industry. 📈

🌱 What I’m learning right now:

  • SQL: Sharpening my skills to work with relational databases and optimize queries for handling big data.
  • Order Flow Analysis: Exploring how the market’s order flow and trades impact price movement, and how this can be leveraged for trading strategies.
  • Financial Knowledge: From technical analysis to financial modeling, I'm constantly learning how to apply data science techniques to the world of finance. I’m diving deep into financial metrics, market indicators, and trading psychology.
  • Tools & Tech: Enhancing my knowledge of Python, R, and financial libraries like TA-Lib, Backtrader, and QuantConnect.

💻 What I’m building:
I’m currently working on projects that explore the intersection of data science and finance. Some ideas include:

  • Predictive Stock Models using machine learning to forecast stock prices and trends.
  • Algorithmic Trading Bots: Developing bots to automate trading strategies using historical market data.
  • Data Visualizations: Creating interactive charts and dashboards to visualize financial data, market behavior, and trends in real time.

🌐 Why finance & ML?
I believe the power of data can transform the way we approach financial markets. From predicting price movements to improving portfolio management, data-driven decisions are the future of trading and investing. By combining machine learning and data analysis, I’m working towards bridging this gap and making finance more accessible, efficient, and smart. 💡

🌀 Fun Facts:

  • Table Tennis: I’ve been smashing it for almost 13 years, and I'm pretty competitive (but friendly, of course 😉).
  • Running: There’s nothing like a good run to clear my mind and boost my creativity. Whether it’s a morning jog or a weekend 5K, running’s my go-to.
  • Books: I live for a good book! From finance-related reads to fiction that takes me to new worlds, reading is one of my greatest passions. 📖
  • Always learning: I’m a lifelong learner—whether it’s a new programming language, a fresh take on trading, or a concept in machine learning, I’m constantly evolving and growing.

Feel free to reach out if you want to collaborate on a cool project, share tips about the markets, or just chat about the latest in tech and finance! 🚀

🌐 Socials:

Instagram X

💻 Tech Stack:

Python R MySQL MicrosoftSQLServer MariaDB Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow

📊 GitHub Stats:




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