Software engineering graduate with a passion for building websites, data dashboards, and automatization tools. I am a quick learner and a team player, always looking for new challenges and opportunities to grow.
BSc. in Software Engineering and Computer Science
International exchange in the Faculty of Applied Sciences and Engineering
Qualitest (Supporting Google)
Collaborating closely with stakeholders, I enhanced the quality of Google Gen-AI models by implementing rigorous data validation processes to ensure accuracy and reliability. Through in-depth linguistic analysis across Korean, English, and Spanish, I optimized model performance and contributed to refinement via human-in-the-loop feedback. By overseeing the seamless flow of training data, I maintained data integrity throughout the entire pipeline.
Procter & Gamble
Collaborating with brand managers, I provided key insights through PowerBI dashboards by analyzing sales data from multiple sources, including Nielsen and the internal datahub, to identify trends and risks. I ensured data quality by developing Excel macros and Power Automate workflows to integrate diverse data sources (SQL, Excel, CSV) into the data pipeline. Utilizing DAX and Azure, I designed and built data pipelines to populate the internal datahub with external and Nielsen data.
Tec de Monterrey
I drove significant student enrollment growth by fostering a strong community and optimizing admissions processes. Engaging over 200 families through on-campus events, I collaborated closely with faculty to develop student-centric activities aligned with historical enrollment trends. By leveraging data analytics, I developed a revitalized admissions strategy for 2024, resulting in increased enrollment and enhanced student satisfaction.
Event powered by Unilever International at the London HQ that aimed to develop a strategy to bring the Lady’s Choice brand to the US market, targeting the Filipino diaspora.
Research on a model that can detect if an image was generated using a GAN or not. A modified version of ResNet18 was used.
Research that compares performance different neural network arquitectures for crop field segmentation using the DeepGlobe dataset.
Hack n' Slash, level-builder game developed in Unity with a web version that can be played on the browser. A website was also developed for the users to log in and check their stats for the levels.
Web application that enables car dealerships and customers to handle all the process online, with a delivery service directly to their homes.
Application developed with Python Streamlit library which, based on the common symptoms of Covid-19 stated by the WHO, tells if a person might be a positive case. Also, it monitors the health conditions of a patient based on inputed data.