¡Bienvenido al perfil Malt de Xavier !
Localización y desplazamiento
- Localización
- Barcelona, CT, España
- Puede trabajar en tus oficinas en
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- Alrededor de Barcelona y 50 kms
Preferencias
- Duración del proyecto
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- ≤ 1 semana
- ≤ 1 mes
- Entre 1 y 3 meses
- Entre 3 y 6 meses
- ≥ 6 meses
- Sector de negocio
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- Banca & seguros
- Cultura
- E-commerce
- Educación & e-learning
- Logística & Supply Chain
+1 autres
- Tamaño de la empresa
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- 1 persona
- 2-10 personas
- 11-49 personas
Verificaciones
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Categorías
Habilidades (12)
- Data Science
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Principiante Intermediario Confirmado
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Principiante Intermediario Confirmado
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Principiante Intermediario Confirmado
Xavier en pocas palabras
Data Science with strong business understanding. I have worked for very different industries and mainly focused in marketing and its optimisation and ML models on production. developed ml models for Purchase probability predictions, Customer LTV, Marketing Mix Modeling and budget allocation, Price suggetion/prediction and forecast.
I worked with big players in tech and commerce industry such as Privalia, Veepee, Chickfy, Cones.Net, Infojobs, Outfund...
I worked with big players in tech and commerce industry such as Privalia, Veepee, Chickfy, Cones.Net, Infojobs, Outfund...
Experiencia
Outfund
Banca & seguros
Lead Data Scientist - Como freelance
Team Lead Data Science & Data Engineering . Team size 4 FTE
Performance prediction and revenue forecasting for the Revenue Based Financing Solution:
- design and implementation of Matryoshka "in house" developed forecasting algorithm stack: Pyhton, SQL , PLSQL, MSLQ, DBT
Performance prediction and revenue forecasting for the Revenue Based Financing Solution:
- design and implementation of Matryoshka "in house" developed forecasting algorithm stack: Pyhton, SQL , PLSQL, MSLQ, DBT
Adevinta Spain - Adevinta Global
High tech
Senior Data Scientist
Mathematical optimisation Problems using Python.
Advanced Machine Learning Python. Bayesian Analysis & Bayesian Testing Forecasting methods.
Pricing Tool: predictions on car prices and car price suggestion applying XGBoost (Python) using sample weights on custom smooth error metrics.
Demand forecasting
Ad Lifetime elasticity with respect price
Marketing Mix Model
Queues Performance: Quantile Regression
Python | Fullstack SQL | Adobe Analytics | Tableau.
Advanced Machine Learning Python. Bayesian Analysis & Bayesian Testing Forecasting methods.
Pricing Tool: predictions on car prices and car price suggestion applying XGBoost (Python) using sample weights on custom smooth error metrics.
Demand forecasting
Ad Lifetime elasticity with respect price
Marketing Mix Model
Queues Performance: Quantile Regression
Python | Fullstack SQL | Adobe Analytics | Tableau.
Privalia - VeePee Spain
E-commerce
Data Scientist
Mathematical optimisation Problems. Fullstack SQL Advanced analytics & Machine Learning Main Machine Learning And Deep Learning Projects:
- Customer Segmentation and Customer Lifetime Value (Python XGboost, OpenNN)
- Optimal control of Showroom position using Dynamic Programming (Bellman).
- Promotional CRM Actions Optimisation. (AB test, XGBoost)
- KPIs aproximation with Neural Networks regression. Marketing Analysis: Creation of new metrics for a better understanding of our customer behaviour as Customer's Entropy or a better approach to RFM models and Customer LifeTime Value models: 1. Cohort analysis, Segmentation analysis, Customer Segmentation (with Python). 2. AB Test, Test Clustering and Dynamic Test Forecasting 3. Customer analysis 4. CRM perfomance analysis 6. Data mining / targeting ETL: Pentaho Data Integrator. Automatized real time Reporting and KPI Calculation.
- Customer Segmentation and Customer Lifetime Value (Python XGboost, OpenNN)
- Optimal control of Showroom position using Dynamic Programming (Bellman).
- Promotional CRM Actions Optimisation. (AB test, XGBoost)
- KPIs aproximation with Neural Networks regression. Marketing Analysis: Creation of new metrics for a better understanding of our customer behaviour as Customer's Entropy or a better approach to RFM models and Customer LifeTime Value models: 1. Cohort analysis, Segmentation analysis, Customer Segmentation (with Python). 2. AB Test, Test Clustering and Dynamic Test Forecasting 3. Customer analysis 4. CRM perfomance analysis 6. Data mining / targeting ETL: Pentaho Data Integrator. Automatized real time Reporting and KPI Calculation.
Grupo Zeta
Desarrollador de bases de datos y aplicaciones web
- Análisis de Datos (Agrupación, Clustering, Data Mining)
- Diseño, desarrollo e implantación de procesos de Carga de Datos.
- Diseño, desarrollo e implantación de Bases de Datos Analíticas.
- Report y mantenimiento de la BBDD
- Tecnologías Essbase i OBIEE de Oracle.
Bismart, Business Intelligence Specialist Services
Sector público & comunidad
Junior BI Consultant
- Diseño, desarrollo e implantación de procesos de Carga de Datos.
- Diseño, desarrollo e implantación de Bases de Datos Analíticas en SQL Server 2008 & 2012.
- Diseño, desarrollo e implantación de informes, cuadros de mando i Balance Scorecard
- Programing : TSQL, MDX, HTML, C++, R
- Diseño, desarrollo e implantación de Bases de Datos Analíticas en SQL Server 2008 & 2012.
- Diseño, desarrollo e implantación de informes, cuadros de mando i Balance Scorecard
- Programing : TSQL, MDX, HTML, C++, R
Recomendaciones externas
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