Almudena Barreiro carrillo
Data Ethics Telecommunications Company
Experience
Data Ethics Telecommunications Company
Data Ethics Telecommunications Company
Managed a data quality project based on the UNE 0081 standard, coordinating a multidisciplinary team of six, including data engineers, data analysts, and developers, using Agile methodology.
Developed in Python and deployed on Azure (Azure Container, Azure SQL, and Azure Functions) with Power BI for visualization.
Included Databricks (PySpark) pipelines and advanced SQL for data extraction and manipulation.
Led multiple project evolutions, such as a quality rule tester and an AI-supervised error correction feature using generative AI.
Data Science Specialist
Next Digital
Initiated and led the creation of the Data Science Group as its first data scientist, expanding the team to six members while coordinating projects to drive innovation and growth.
Developed and executed business development strategies, including public tenders—winning one for predicting 5G service disruptions for the Madrid City Council—using Nixtla time-series (NHITS) and federated models; classification with Random Forest.
Data Ethics Telecommunications Company
Aeronautical Company
Developed an advanced demand forecasting model predicting passenger volume at specific airports with a six-week lead time by integrating Prophet with sophisticated machine learning models, complemented by effective visualizations in Power BI.
Executed coding and operational implementation using Airflow DAGs (AWS Redshift, Python, SQL) providing a comprehensive end-to-end solution.
Data Scientist
Barcelona Innovation Center, Accenture Iberia
Designed a solution from data ingestion (Big Data) to analytics (R) and visualization (Qlik Sense) to identify supplier recoveries; conducted quality studies with forecasting to predict future vehicle issues and cost curve analysis using Weibull functions, utilizing Agile methodology and SAP HANA and Hive-Hadoop databases.
Used machine learning (Lasso, Ridge) and time series (Prophet) with Python to predict GDP for the next year at a monthly level; employed solid SQL over Oracle database and version control with Git.
Skills
Python
Communication & Storytelling
Power Bi
Sql
Ml & Statistical Modeling
Cloud: Aws, Azure
Health Analytics: Supported Poc Development And New Offerings For Several Health Analytics Use Cases. Optimization And Forecasting With R (H2o, Ensemble Models, Xgboost, Glm), Machine Learning, Shiny, Powerbi
Human Capital Analytics: Led Poc Development And New Offerings For Workforce Planning, Attrition, And Recruitment Use Cases. Developed A Women’s Attrition Poc Using Time Series (Prophet), Forecasting, And Machine Learning With R (Gbm, Random Forest) And Powerbi. Created A Recruitment Chatbot In Python (Wikipedia, Nltk, Gtts)
Non Profit Organization: Analytics Use Case To Detect Workforce Integration. I Was Responsible For Developing The Etl (Talend), Building The Database (Mysql), And Creating Advanced Neural Network Modeling Using R
Languages
Education
University of Santiago de Compostela
Master in Statistical Techniques and Operations Research · Statistical Techniques and Operations Research · Santiago de Compostela, Spain
University of Santiago de Compostela
Bachelor in Mathematics · Mathematics · Santiago de Compostela, Spain
Certifications & licenses
AWS Certified Cloud Practitioner
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