Oscar Fraile

Data Scientist

https://talent.gravityer.com/oscar-fraile

Data Scientist · ML · DL · GenAI · Transformando datos en decisiones

Madrid

Key Strengths

Demonstrated proficiency in Python for data science tasks.
Extensive experience with Jupyter Notebook for data analysis and model development.
Strong portfolio of personal projects covering various data science domains like predictive modeling, sentiment analysis, forecasting, and RAG agents.
Experience with machine learning models such as XGBoost, HistGradientBoosting, and KMeans.
Familiarity with MLOps concepts like scalable pipelines (retail-forecasting project).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio demonstrates a strong interest and self-driven learning in Data Science, aligning well with a target role in this field. The diversity of projects (e.g., real estate, retail, banking, NLP, RAG) indicates a broad curiosity and willingness to explore different applications of data science. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or cultural integration in a corporate setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

Airbnb_Real_Estate

June 4, 2026 – Present

Airbnb_Real_Estate — repository

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Proyecto-Master-DataScience-Evolve-OscarFraile

June 1, 2026 – Present

Predicción de rentabilidad de alojamientos Airbnb en Madrid con XGBoost y mapa interactivo por barrios. AUC-ROC 0.997.

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oscarfraile.github.io

May 15, 2026 – Present

Portfolio de Data Science — Oscar Fraile

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online-retail-rebuying

May 14, 2026 – Present

Predicción de recompra de clientes sobre 1M+ transacciones con RFM features, KMeans y HistGradientBoosting. AUC-ROC 0.864.

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wise-trustpilot-sentiment-bert

May 14, 2026 – Present

Análisis de sentimiento y topic modeling sobre reseñas Trustpilot con BERT. Wise.com vs 69 competidores del sector Money & Insurance.

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agente-rag-motores

May 14, 2026 – Present

Agente RAG conversacional sobre documentación técnica de motores de combustión interna. Stack: LangGraph · ChromaDB · Google Gemini · HuggingFace Embeddings · Streamlit.

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EVOLVE

October 27, 2025 – Present

EVOLVE — repository

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banking-risk

July 26, 2025 – Present

Sistema de scoring crediticio con tres modelos (PD, EAD, LGD) según marco Basilea II/III. AUC-ROC PD 0.881.

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retail-forecasting

July 25, 2025 – Present

Forecasting de ventas diarias para 20 combinaciones producto-tienda sobre datos M5 Kaggle. Pipeline escalable a producción.

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OscarFraile

July 25, 2025 – Present

OscarFraile — repository

View Project

Key Strengths

Demonstrated proficiency in Python for data science tasks.
Extensive experience with Jupyter Notebook for data analysis and model development.
Strong portfolio of personal projects covering various data science domains like predictive modeling, sentiment analysis, forecasting, and RAG agents.
Experience with machine learning models such as XGBoost, HistGradientBoosting, and KMeans.
Familiarity with MLOps concepts like scalable pipelines (retail-forecasting project).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Oscar Fraile

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit