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dorianDraper/README.md

⚡ Jorge Antonio Payà Albero ⚡

Cybersecurity Specialist (Lawyer/Certified Ethical Hacker)

I am passionate about technology, financial markets, and continuous learning. With a strong foundation in cybersecurity and a growing focus on data science and machine learning, I am expanding my expertise toward systematic and algorithmic trading.

My professional background combines cybersecurity, risk management, and a legal foundation, allowing me to approach complex systems with a structured, analytical mindset. These disciplines have shaped the way I design and evaluate data-driven models, emphasizing robustness, risk awareness, and disciplined decision-making—principles that are equally critical in financial markets.

Today, I am focused on developing quantitative research skills, building algorithmic strategies, and leveraging data analysis to better understand market behavior. By integrating programming, machine learning, and market research, I aim to create systematic approaches that transform data into actionable trading insights.

Driven by curiosity and long-term learning, I am committed to exploring the intersection of technology, quantitative analysis, and financial markets while continuously refining the tools and methodologies that support robust trading strategies.


🧰 Languages and Tools

Python

Linux

Git

HTML

CSS

JavaScript

GitHub

Bash


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  1. Airbnb-EDA-project Airbnb-EDA-project Public

    EDA including for the New York Airbnb data from Kaggle. Step-by-step process and conclusions of each step including the results on the relationships between the variables.

    Jupyter Notebook

  2. Boosting-Algorithms Boosting-Algorithms Public

    Applying boosting techniques such as GradientBoostingClassifier, GradientBoostingRegressor (eXtreme Gradient Boosting (XGBClassifier and XGBRegressor functions). This repo contains class examples a…

    Jupyter Notebook

  3. KNN-Movie-recommender KNN-Movie-recommender Public

    Building a KNN model. The dataset for this project collects part of the knowledge from the API TMDB, which contains only 5000 movies out of the total number. Model the data using a KNN, analyze the…

    Jupyter Notebook

  4. Time-Series-projects Time-Series-projects Public

    Time series data, prevalent across diverse domains like economics, finance, meteorology, and science, encompasses various phenomena such as daily sales, stock prices, temperatures, and population g…

    Jupyter Notebook 1

  5. Web-App-Streamlit Web-App-Streamlit Public

    Develop a web application using Streamlit and create a free service in Render and integrate the work done to be able to deploy the web application online.

    Jupyter Notebook

  6. DGA-Detection-final DGA-Detection-final Public

    Final Project on how to detect domains that were generated using "Domain Generation Algorithm" (DGA). The idea is to tell DGA-generated and non-DGA-generated domains apart using a combination of li…

    Jupyter Notebook 1