As an early career data scientist, I have a solid foundation in feature extraction from clinical images, statistical modeling on unstructured data, and machine learning applications to predict features in unlabeled data. My expertise lies in analyzing complex datasets, detecting trends, and delivering actionable insights to stakeholders. I am motivated to leverage my diverse skillset to tackle new challenges and grow professionally.
- Data analysis and interpretation
- Feature extraction from clinical images and general images.
- Statistical modeling on unstructured data
- Machine learning and predictive modeling
- Data visualization and communication
- Collaborative problem-solving
Recommendation to pursue cloud certifification (GCP)
Currently working on my Data scientist path with R, SAS & Python. Working on my Data engineer path with Azure, AWS and Google Cloud. (Better Time to Market)Pursuing a Master's degree in Artificial Intelligence (MNA-V ITESM). My goal is to deepen my expertise, engage in impactful research, and contribute to responsible AI development. I aspire to bridge the gap between theory and practice, making a positive impact on society.
ENTIX 2023, México: Machine Learning Aplicado a la industria actual.
CANACINTRA: Machine Learning Aplicado a la industria automotriz.
Exceltic: Inteligencia Artificial en la realidad empresarial: Casos de uso.
UNAM: Teaching Assitant| Linear algebra,Biostatistics,Mathematics for Biologyst