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Daniel F.DF

Daniel F.

Senior ML & Deep Learning

€260/day
Ponferrada, ES
8-15 years

Average response time: 1 hour

About Daniel

Senior ML Engineer | Soluciones End-to-End de Deep Learning y Optimización de Negocio

Texto de presentación (Para el campo que necesitas rellenar):
¿Buscas transformar tus datos en activos estratégicos pero no sabes cómo integrar modelos complejos en tu operativa diaria? Ayudo a empresas y startups a cerrar la brecha entre la experimentación de datos y el valor real de producto.

Mi enfoque va más allá de entrenar modelos con alta precisión; diseño y despliego soluciones robustas de Deep Learning que optimizan procesos y escalan con tu negocio. Lo que me diferencia es mi capacidad para entender el lenguaje de negocio y traducirlo en una arquitectura técnica eficiente (MLOps), asegurando que el modelo no solo funcione en mi ordenador, sino en tu entorno de producción.

Proyectos y entregables que gestiono habitualmente:

Desarrollo de Modelos: Arquitecturas de Deep Learning personalizadas (Computer Vision, NLP o Forecasting).

Pipeline de Datos & MLOps: Automatización del ciclo de vida del dato, desde la ingesta hasta el despliegue en la nube (AWS/GCP/Azure).

Auditoría y Optimización: Evaluación de modelos existentes para mejorar su rendimiento y reducir costes de computación.

APIs y Microservicios: Entrega de modelos listos para ser consumidos por tus aplicaciones mediante contenedores (Docker/Kubernetes).
  • English

    Native or bilingual

  • Spanish

    Native or bilingual

Can work on-site
Ponferrada (up to 50km)

Experience

  • Boolea,
    Senior Data Scientist
    RETAIL (LARGE RETAILERS)
    August 2023 - Today (2 years and 11 months)
    Asturias, Spain
    • ● Consultative Modeling and Data Engineering: Acted as the primary technical consultant for clients, translating ambiguous business pain points into concrete mathematical frameworks and end-to-end production systems on Azure, Salesforce Environment and GCP (to lesser extent).
    • ● MLOps & Cloud Architecture: Designed and deployed end-to-end ML pipelines on Azure and Microsoft Fabric using MLflow and Terraform, ensuring model scalability and reproducibility.
    • ● Advanced Forecasting: Developed Deep Learning models (LSTM, GRU) for a global hotel group to predict inventory consumption across kitchens and bars.
    • ● Customer Intelligence Suite: Built a 3-model integrated system for a major beverage distributor (40k clients): Churn Propensity, Collaborative Filtering for Recommendations, and Demand Estimation (ANOVA/LSTM).
    • ● AI Validation: Pioneered a statistical validation framework for AI Agents and LLM prompts using rigorous hypothesis testing (Wilcoxon signed-rank, Z-tests) on MLflow framework.
    Terraform MLOps MLflow Microsoft Azure TensorFlow
  • Banco Santander),
    Data Engineer
    May 2022 - August 2022 (3 months)
    Madrid, Spain
    • ● Big Data Migration: Migrated legacy SQL and Impala processes to the Stratio Big Data platform using PySpark and Python.
    • ● Feature Engineering: Developed custom Python tools for synthetic variable calculation to support large-scale classification and prediction models.
  • CHEP UK&I
    Digital Data Analyst
    January 2021 - November 2022 (1 year and 10 months)
    Manchester, UK
    • ● IoT Data Products: Processed and analyzed telemetry data from thousands of smart pallets to optimize supply chain visibility.

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Education

  • Bachelor Degree on Physics
    Universidad de Salamanca
    2017
    Bachelor Degree on Physics
  • Cloud Digital Leader Certification
    Google
    2024
    Cloud Digital Leader Certification

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