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ABOUT ME

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December 18, 1996

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Location: Mérida, Yucatán, México

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I am a self-driven and passionate professional with over 8 years of experience learning and applying computer science principles. My journey began with an autodidactic approach, and my enthusiasm for technology continues to grow as I keep exploring new frontiers in data science, machine learning, and software development. Despite my medical background, I’ve always believed that medicine and technology are inherently complementary fields. My focus on medical neuroscience and programming has shaped my problem-solving mindset, allowing me to integrate complex scientific concepts from both disciplines to find innovative solutions.

I thrive in collaborative environments, where my strong teamwork skills and ability to work efficiently under pressure shine. I am dedicated to continuous learning, seeking new knowledge to stay updated in rapidly evolving fields. My optimistic outlook drives me to embrace challenges as opportunities for improvement, fostering a mindset of growth and adaptability.

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Languages

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Spanish | Native speaker

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English | Fluent

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Contact


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[email protected]

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/pedro-rgz

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+52 999 458 2665

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/PedroRgz

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Education


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Medical Doctor

Universidad Autónoma de Yucatán | Mérida, Yucatán, México

2017-2024

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Medical Intern Of Social Service

Centro de alto rendimiento deportivo | Mérida, Yucatán, México

2023-2024

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Work Experience


Medical Doctor (General Practitioner)

CAIS Médica, Mérida, Yucatán, México

September, 2024 - Present

Medical Doctor (General Practitioner) - Social Service

Centro de Alto Rendimiento Deportivo, Mérida, Yucatán, México

August 2023 – July 2024

Certifications


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Coursera | Career Academy | IBM Data Science

Completed in 2024

Online Specialization Certificate

Online Specialization Certificate

🔗 Pedro Rodriguez - Credly Profile

Gained practical, hands-on experience in data science, building upon existing theoretical knowledge. The program emphasized real-world applications through projects that involved data gathering, cleaning, visualization, and predictive modeling. Acquired proficiency in key tools such as Python, SQL, Jupyter Notebooks, and GitHub, as well as libraries like Pandas, NumPy, Matplotlib, and Scikit-learn.

Projects included financial data extraction, SQL querying, machine learning models, and dashboard creation to solve complex data problems. This certification solidified my skills in applied data science, preparing me for real-world challenges in data analysis and machine learning.

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