• Spearheaded the construction and maintenance of databases, ensuring data integrity and efficiency for various projects in the banking sector.• Played a key role in the development and deployment of an early warning system for a major bank, enhancing riskassessment and decision-making processes.• Collaborated with cross-functional teams in banking and telecommunications sectors to deliver solutions thatimproved operational efficiency and customer experience.• Highly skilled in Python, PySpark, Databricks, and Azure.• Developed and optimized machine learning pipelines, significantly improving operational efficiency and modelperformance.• Collaborated effectively with cross-functional teams to integrate machine learning models into productionenvironments.• Proactively explored and implemented cutting-edge machine learning techniques, enhancing organizationalcapabilities.• Mentored and guided junior team members, fostering a culture of excellence and collaboration.Key Achievements:Enhanced machine learning model time-to-market and performance through strategic optimizations.Successfully aligned technical solutions with business objectives, ensuring seamless integration and maximized impact.

Product Owner in the innovative project in the construction and infrastructure sector. Some tasks are: - Lead the development team, add and improve product functionalities - Technology Stack: (Cloud Provider: Digital Ocean, Git Platform: Github, Database: PostgreSQL, Main Language: Typescript, API Protocol: GraphQL, FronEnd: Flutter).

Encargado de la ejecución del "Proyecto Cambio"

Research: Understanding user needs and problems to come up with valuable solutions.Prototyping: Moving from an idea to a more grounded concept.Validation: Use prototypes to understand if the solution components are valuable. If not, understand alternatives or improvements.Communication: Conveying the solution or next steps to the decision makers involved in the project.

I developed a low power consumption electronic device to detect levels of nutrient concentrations in soils to support agricultural work in areas such as Madre de Dios, Peru in conjunction with students from Harvard University.