Acerca de Darío
I am a Data Scientist and Business Analyst with a strong background in Psychology, specialized in transforming data into actionable business and people-centered insights. My dual expertise allows me to bridge the gap between analytics and human behavior — turning complex data into clear, strategic decisions.
I help organizations extract value from data through advanced machine learning, predictive modeling, and data visualization. My experience includes building interpretable models (SHAP, PDP, ICE), optimizing pipelines with Python, SQL, and Power BI, and designing ROI-driven simulations to guide investment and business decisions.
I’ve led projects combining AI, behavioral analytics, and business intelligence, delivering measurable impact on decision-making, marketing, and people analytics.
What I offer:
• End-to-end Data Science projects (from cleaning to visualization)
• Predictive analytics and business KPIs modeling
• Dashboarding & storytelling for executive audiences
• Experiment design, A/B testing, and behavioral analysis
Let’s work together to turn your data into insight, and your insight into growth.
Español
Bilingüe o nativo
Inglés
Bilingüe o nativo
Francés
Competencia profesional básica
Acepta trabajo presencial
Madrid (hasta 50 km)
Experiencia
- Complutense University of MadridData Science Master’s Final Project – Founder Personality Investment Score (FPIS)AGENCIAS DE SUBCONTRATACIÓNenero de 2024 - junio de 2025 (1 año y 5 meses)Madrid, España- Built a predictive KPI for startup success using Big Five traits + team composition metrics on 21k startups.- Applied ML models (LogReg, XGBoost, LightGBM, MLP) with Optuna hyperparameter optimization and calibration.- Improved metrics over baseline.- Designed ROI simulations validating +15% expected return vs random strategies.- Delivered interpretable outputs with SHAP, PDP/ICE, enabling investor-ready insights.
- Universidad Complutense de MadridMaster’s Degree in Data Science, Big Data & Business Analytics - 2024-2025AGENCIAS DE SUBCONTRATACIÓNenero de 2024 - julio de 2025 (1 año y 6 meses)Madrid, EspañaData Science Master’s Final Project – Founder Personality Investment Score (FPIS)Complutense University of Madrid | 2025Built a predictive KPI for startup success using Big Five traits + team composition metrics on21k startups.Applied ML models (LogReg, XGBoost, LightGBM, MLP) with Optuna hyperparameteroptimization and calibration.Improved metrics over baseline.Designed ROI simulations validating +15% expected return vs random strategies.Delivered interpretable outputs with SHAP, PDP/ICE, enabling investor-ready insights.Data Mining Competition – Pump it Up: Water TableComplutense University of Madrid | DrivenData | 2025Built classification models to predict water well functionality, handling a large, noisy dataset.Improved model accuracy through data cleaning and feature engineering, showcasingadaptability to real-world data challenges.Demonstrated ability to apply ML techniques in an international competition with real-worldimpact.
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Formación
- Master’s Degree in Data Science, Big Data & Business AnalyticsComplutense University of Madrid2025Master’s Degree in Data Science, Big Data & Business Analytics
- Master's Degree in Artificial Intelligence and InnovationFOUNDERZ BUSINESS SCHOOL & MICROSOFT2023Master's Degree in Artificial Intelligence and Innovation