Data analytics professional with over 8 years of experience in machine learning, deep learning and artificial intelligence, leading advanced analytics and process optimization projects in the oil & gas, mining and logistics industries.
Development of predictive analytics prototypes, AI agents, API integration, RAG, and secure access to 2 TB of enterprise data. Technologies: Python, Spark, SQL, GCP, Vertex AI, Gemini, LangChain, N8N, RAG, Docker, CI/CD, Kafka.
Major achievementI led the development of generative AI solutions, increasing recommendation accuracy by 30% and designing scalable architectures with RAGs, APIs, and Docker.
Planning and execution of research projects in operations and data science, teaching at undergraduate, specialized, and master's levels.
Major achievementVirtual instructor in optimization, simulation, and data analysis courses, advising on digital transformation and data science.
Generative AI prototyping, AI agents and chatbots, API and RAG integration, deep learning development for transportation systems, team and budget management. Technologies: Python, Spark, SQL, Power BI, Azure, DAX, Power Query, RAG, Docker, CI/CD, Microsoft Copilot.
Major achievementI designed generative AI solutions and led a 10-person data engineering team, managing budgets of up to $1.5M USD and developing MLOps pipelines.