Responsible for designing, developing, and deploying machine learning models to drive business value through data-driven insights.
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Responsible for designing, building, and maintaining scalable software solutions that meet business and user needs.
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Responsible responsible for assisting in the development and testing of software solutions while gaining hands-on experience in coding, Operative Systems administration and database management.
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Master’s in Data Science focused on business, technology, and data science fundamentals. Final project implemented a cloud-based, data-driven solution to optimize workplace processes using advanced analytics.
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Bachelor’s degree in Engineering in Information Technologies and Intelligent Systems, focused on software engineering, networks, operating systems, software design, business strategy, security, and machine learning. The program provided practical skills in developing secure, efficient software solutions and applying machine learning techniques to real-world challenges.
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Responsible for designing and implementing a comprehensive web platform to labor conciliation processes for workers and employers as Tech Leader.
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Served as a jury member for Master’s students’ graduation projects in Data Science, evaluating proposals, technical execution, and the value of implemented solutions.
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Collaborated with Axeleratum to develop AI-driven analytics that enhance sports performance and generate valuable indicators.
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Published and presented the paper “Sentiment Analysis on Twitter about COVID-19 Vaccination in Mexico” at the MICAI.
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Developed integrations between WooCommerce and data analysis platforms, implementing real-time fraud notification systems using AWS webhooks.
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Participated in the Datatón de Anticorrupción organized by Plataforma Digital Nacional, developing data analysis and anti-corruption detection proposals.
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Led a team to develop an Intelligent Tourism Android app using AI, achieving a finalist position among 20 teams out of 500. The app provided an interactive and engaging way to explore museums and tourist areas through data science
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Achieved 1st place in Kellogg’s Data Jam by developing data-driven solutions to optimize product distribution routes.
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Participated in a Data Science project for OCESA through University Panamericana Consultancy, optimizing product distribution.
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Contributed to the PanterasUP Data Science Group at University Panamericana, supporting students in learning and applying data science and AI, and facilitating participation in competitions.
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Participated in an international competition, designing and building a 2m x 3m gasoline-powered scale aircraft to drop payloads at 30m distance and height. Achieved 10th place in 2016 and 6th place in 2017.
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Participated in a Latin American competition, developing a ride-sharing mobile app to enhance mobility and reduce emissions. Ranked among the top 50 out of 150 projects.
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