About Jorge
I am a versatile Data professional with strong expertise across Data Engineering and Data Science, including moderate knowledge of MLOps, DevOps, and AI Engineering. What sets me apart is my ability to work end-to-end: from designing scalable data architectures and building robust pipelines, to developing and deploying advanced ML models that drive real business impact.
I thrive on challenges and excel in quickly mastering new tools, frameworks, and technologies whenever I face the unknown. My passion lies in bridging the gap between infrastructure and analytics, ensuring that data solutions are not only technically sound but also business-driven.
With experience leading complex projects in retail, digital advertising, and AI innovation, I bring a unique horizontal knowledge that allows me to adapt and deliver value across the full data lifecycle. I’m always ready to dive into new challenge, if I don’t know something, I learn it and find a solution.
Spanish
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- INLAB DigitalData Engineer | Data ScientistDecember 2023 - Today (2 years and 6 months)• Manage and implement all data related projects, including data engineering, data science, DevOps, MLOps, and generative AI initiatives.• Design, build, and maintain ETL pipelines, eliminating data duplication, improving cost and time efficiency, and developing new pipelines for special projects and third-party integrations.• Design reporting dashboards and automated reports to empower Ad Operations teams with actionable insights.• Developed neural network-based CTR prediction model to increase campaign profitability and improve ROI.• Implemented GenAI agents to streamline code documentation, accelerate development, and create a natural-language query interface for ad-platform reporting and analytics.
- DIAData Engineer & Data ScientistAugust 2021 - December 2023 (2 years and 4 months)• Collaborated on both Data Science and Data Engineering teams, bridging the gap between analytics and infrastructure.• Conducted exploratory analyses and KPI reporting, informing key business decisions.• Implemented recommendation system engine for assigning promotional coupons , improving promotional ROI.• Developed customer segmentation model driving KPI dashboards and improving recommendation accuracy.• Built churn-prediction model to identify at-risk customers, enabling preventive marketing actions to reduce churn.• Migrated ML models from AWS to GCP Vertex AI, ensuring seamless performance and reducing costs.• Designed and implemented ETL workflows with Talend, GCP services such as Composer (Airflow) and AWS services (later migrated to GCP), and other services like DBT, improving data pipeline reliability.• Built ad-hoc ETL processes, including batch reprocessing of tickets using GKE, to support ML, BI, and CDP needs.• Led data quality assurance efforts, including deduplication, outlier handling, and missing data imputation, improving ML model accuracy.• Developed internal web app enabling project owners to configure ML model parameters, reducing deployment time.• Contributed to create an internal GCP-based data framework for data engineers, using DBT, Airflow (Cloud Composer), and related services, standardizing data workflows.
- DIAData Scientist (Consultant via DXC)March 2020 - August 2021 (1 year and 5 months)• Built time-series forecasting model predicting bakery product sales, generating per-store production plans and reducing waste.• Created heuristic-based optimization process to improve baking schedules, minimizing oven time.• Developed a geospatial and demographic model to predict profitability of new store locations, informing expansion strategies.• Maintained and improved existing models based on evolving business rules, ensuring model relevance.• Performed exploratory data analyses to identify trends and anomalies, guiding data-driven decisions.
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Education
- Double Bachelor's Degree in Business AdministrationUniversidad Carlos III de Madrid2019Double Bachelor's Degree in Business Administration
- Master in Big DataUniversidad Internacional de La Rioja (UNIR)2023Master in Big Data