Designed pricing models and autonomous agents to support commercial and operational decision-making. Built process-automation workflows powered by LLMs, integrating N8N, Docker, and FastAPI for scalable deployment on Azure Cloud. Developed bilingual (EN/ES) chatbots and document-classification/NLP pipelines to streamline logistics operations. Managed model versioning and collaborative development through GitHub; queried and transformed operational data with SQL.

Built machine learning models for information security, including anomaly detection systems to prevent malware. Applied time series analysis, web scraping, and deep learning to strengthen threat-detection capabilities, using AWS SageMaker and Dataiku. Worked with Generative AI and LLMs (GPT, Claude, Llama, DeepSeek): fine-tuning, agent design, and RAG implementation for internal use cases.

Led the design of an enterprise Data Lake and data governance framework: data dictionaries, strategy, key matrices, and quality evaluation. Modeled truck-arrival flows with Poisson processes and used Markov chains to build KPIs for distribution-center operations. Built a route-optimization model and KPI dashboards for e-commerce SKUs, increasing distribution-center productivity by 90%.

Directed reports, surveys, geostatistics, and multivariate prediction models to forecast voting intention for national campaigns (Podemos, Spain, 2019; PAN, Mexico, 2018). Coordinated a multidisciplinary team to design and deliver a national survey with dynamic result dashboards; contributed to a successful vice-presidential campaign outcome in Spain. Built a political sentiment-analysis and customer-segmentation tracking model; delivered a text-analytics course in Costa Rica and led a sentiment-analysis project on literary texts.

Implemented more than 15 statistical and machine learning models across the institute. Built a Credit Score model and a collection strategy that minimized management risk. Developed a geostatistical model to evaluate branch performance and designed executive KPI reporting. Generated 30 million MXN in savings through A/B testing and propensity-matching methodologies.

Led a team of 15 specialists across analytics projects for clients including VivaAerobus and L'Oréal. Built a flight-delay prediction model for VivaAerobus using machine learning. Modeled sales performance for L'Oréal based on marketing-mix and regression analysis of panel data. Designed an anti-corruption model combining blockchain technology with AI integration. Implemented regression, time series, and Support Vector Machine algorithms across engagements.

Produced regional growth statistics and reports; built break-even pricing and demand-curve/cost-optimization models. Redesigned SAP modules (business cases and technical notes) and led budget control. Designed new commission schemes for industrial, residential, and commercial sales channels; redesigned commercial KPIs. Built WACC/IRR project evaluations, CAPEX/OPEX planning, and credit-risk models; designed and monitored a new business model for the company.

Optimization area management and quantitative modeling.

Investment analysis for insurance sector.