Physicist | Data Science
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I'm an a person extremely curiosity and try to do my task in the best way than can be make it. My principal interest is the artificial intelligence.
Data Analysis and Predictive Modeling Experience - Physics Institute - UASLP:
During my master’s program in Physics, I gained expertise in data cleaning, predictive modeling, and data analysis using tools such as Python and Julia. I have collaborated with colleagues on experimental projects that involved image processing, signal analysis, and time series analysis. My effective communication and collaboration skills have played a key role in the success of these projects.
I look forward to using my skills and experience to contribute to future projects in the field of data science and artificial intelligence.
Data Science - CECEIC:
I updated student and scientific journal databases, conducted data analyses on student dropout rates and payment histories, and ensured API functionality for an education company with a scientific research journal. I collaborated with the IT team and stakeholders to present my findings, and also performed text analysis on scientific articles in the journal. My skills in data retrieval, cleaning, analysis, and presentation, make me a strong candidate for any role in Data Science.
Artificial Intelligence Applied in Scientific Research UNAM-ICF:
During my research internship, I received training in the fundamentals of artificial intelligence and worked on projects involving image processing and complex systems analysis using complex networks and Boolean networks. Specifically, I applied these techniques to understand genetic regulation networks. This experience allowed me to gain expertise in the intersection of physics and AI, and to develop a deep understanding of the applications of AI in image processing and systems analysis
