luis lloret llinares

Led the Data & AI function and a team of 2, defining the roadmap and shipping weekly production code, models, and pipelines. Architected and maintained a Snowflake data warehouse integrating SAP Business One/HANA, Shopify, and SCADA via Apache Airflow, and delivered CV, invoice automation, LLM chatbots, and Power BI reporting used by 80+ daily users.

Delivered end-to-end data and AI consulting projects from discovery to production handover across industry, manufacturing, and retail. Built forecasting and optimisation solutions (including LightGBM time-series forecasting), designed scalable ETL with Airflow/dbt/BigQuery, deployed supervised and unsupervised ML models, and created LLM-powered chatbots and BI dashboards in Power BI/Streamlit.

Analyzed sales and inventory data to support product performance and stock optimisation, and built reports tracking sales trends, customer behavior, and store performance across the retail network. Supported data quality and consistency during migration of on-premise databases to Google Cloud and maintained predictive sales forecasting models using Excel, SAS, and SQL.

Developed customer segmentation and clustering models to support marketing campaigns, product targeting, and commercial strategy. Designed ETL processes and reporting pipelines for sales and customer management teams, aligning data initiatives with business objectives and customer insights.

Completed a Master’s program focused on big data architecture and engineering, including data warehousing, ETL, Spark, Kafka, and cloud-native tooling such as Databricks and AWS.

Completed a Master’s in Applied Artificial Intelligence covering NLP, neural networks, generative AI, reinforcement learning, and model deployment on AWS, Azure, and GCP.

Completed a Master’s in Data Analytics for Business covering Python, machine learning, clustering, time series, NLP, and ETL.

Earned a Bachelor's degree in Economics at Universidad de Alicante.