Skip to content
View DannyAIX's full-sized avatar
2 followers · 2 following

Block or report DannyAIX

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
DannyAIX/README.md

👋 Hi, I'm Danny

Data & AI Strategy Manager and Senior Data Scientist with a strong background in software development and business strategy.

I specialize in building end-to-end data solutions — from data modeling and feature engineering to machine learning and business intelligence — turning data into clear, decision-ready insights.

I’ve worked across fintech, healthcare, retail, and public sector environments, collaborating with remote, cross-functional, and multicultural teams.

🛠️ Tech Stack

Programming & Data

  • Python, SQL, Bash
  • Pandas, NumPy, Scikit-learn, XGBoost

Data & Analytics

  • Power BI, Data Visualization
  • Feature Engineering, Statistics, Forecasting

Databases

  • PostgreSQL, SQL Server, Oracle

Tools & Practices

  • Git, GitHub, TortoiseSVN
  • SCRUM, Agile, Waterfall
  • Low-code / No-code tools

📊 What I Do Best

  • Build scalable, data-driven solutions aligned with business goals

  • Translate complex analytics into actionable insights

  • Design KPIs and dashboards for decision-making

  • Develop internal tools for operations, sales, and finance

  • Bridge technical teams and business stakeholders

  • 🚀 Featured Projects

  • Predictive Hospital Readmission Model
    ML models to predict 30-day readmission risk using clinical data.

  • Sales Forecasting & Time Series Analysis
    Python-based forecasting pipelines for business planning.

  • Customer Conversion Prediction
    Recall-optimized classification models for financial marketing.

    🌍 Beyond Code

  • Experience working with teams across multiple countries and cultures

  • Speaker at universities and professional institutions on innovation and automation

  • Participant in innovation, acceleration, and digital payments programs

  • Strong focus on creativity, innovation, and practical execution

  • 📫 Contact

  • LinkedIn: https://linkedin.com/in/palaciosdanny

  • Location: Guatemala | Open to remote roles (US / Global)

Pinned Loading

  1. regresion-logistica regresion-logistica Public

    Proyecto de Machine Learning enfocado en la implementación y análisis de modelos de regresión logística para problemas de clasificación binaria.

    Python 1

  2. Series-Tiempo-Prediccion-Ventas-Danny Series-Tiempo-Prediccion-Ventas-Danny Public

    Proyecto de Machine Learning enfocado en el análisis y predicción de ventas utilizando técnicas de series temporales y modelos de forecasting.

    Python 1

  3. AlexSc97/hospital-readmission-prediction-diabetes AlexSc97/hospital-readmission-prediction-diabetes Public

    Proyecto de data science, este proyecto tiene el objetivo de entrenar un modelo usando el algoritmo xgboost para predecir la probabilidad de de reingreso a pacientes que fueron dados de alta, tiene…

    Jupyter Notebook 1 2

  4. Ejercicio-XGBOOST-Salario Ejercicio-XGBOOST-Salario Public

    Proyecto de Machine Learning enfocado en la predicción de salarios utilizando el algoritmo de Gradient Boosting XGBoost, optimizado para obtener predicciones precisas basadas en características dem…

    Python 1

  5. K-MEDIAS-DANNY K-MEDIAS-DANNY Public

    Proyecto de Machine Learning enfocado en el análisis de segmentación y clustering utilizando el algoritmo K-Means, con capacidades adicionales de predicción mediante XGBoost para clasificación de c…

    Python

  6. APP-web-ML--Flask-DAN APP-web-ML--Flask-DAN Public

    Aplicación web completa de Machine Learning para predecir el porcentaje de grasa corporal basándose en medidas corporales y datos de estilo de vida, utilizando XGBoost y desplegada en la nube.

    Python