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Daniel Augusto Muñoz Viveros

Exploring Data and Discovering Patterns!

My experience combines data analysis, predictive modeling, and AI-based tool development with a hands-on approach to projects that integrate technology and innovation. I aspire to build intelligent, understandable, and scalable solutions that contribute.

👨‍💻 About Me


Hi! I'm Daniel — Data Scientist, Master in Information Processing Sciences, and an insatiable explorer of the world.


I specialize in applying artificial intelligence and data science to solve real-world problems in health, science, and society. With a strong background in statistics, machine learning, and programming, I have developed predictive models using tools like Python, R, SQL, Pandas, Scikit-Learn, TensorFlow, Docker, and AWS — always focused on improving decision-making and creating meaningful impact.


I'm also the creator of the blog Acumulando Riqueza, a space where I share insights on financial education, investing, and building long-term financial freedom habits.


When I'm not coding or analyzing data, I enjoy football ⚽, reading biographies of brilliant minds 💡, and relaxing with great music 🎧.


👉 Interested in collaborating, sharing ideas, or just chatting about AI, data science, or finance?


📩 Let's Talk 📄 Download my CV
Daniel's Photo

🛠️ Technical Skills


Python
Python
R
R
NumPy
NumPy
Pandas
Pandas
SciPy
SciPy
Matplotlib
Matplotlib
Scikit-learn
TensorFlow
TensorFlow
VS Code
VS Code
MySQL
MySQL
PostgreSQL
PostgreSQL
Power BI
Power BI
Git
Git
GitHub
GitHub
AWS
Docker
Docker

🚀 Projects


📊 COVID-19 in Mexico Chart
Interactive visualization of confirmed cases, deaths, and recoveries by state. Tools: Python, PostgreSql, PowerBi.
🔗 View repository
🧬 Influential Factors on Post-COVID Antibodies
Retrospective study using AI techniques to identify clinical and sociodemographic variables that influence COVID-19 antibody levels. Title: "Identification of factors of antibody levels in post COVID-19 individuals: public health approach."
🔗 View publication
😷 Mask Detection
Computer vision system that identifies if a person is correctly wearing a mask using convolutional neural networks. Tools: Python, TensorFlow, AWS, Docker.
🔗 View repository
😴 Sleep Stress Detection
Sleep stress prediction using machine learning models to detect stress and sleep disorders. Tools: Python, Docker.
🔗 View repository
🩺 Cirrhosis Prediction
Cirrhosis prediction model using clinical patient data with supervised classification algorithms. Tools: Python, Scikit-learn, AWS, Docker.
🔗 View repository
📚 Acumulando Riqueza Blog
Educational blog with articles on investing, saving, inspiring biographies, and key book summaries for achieving financial freedom.
🔗 Visit blog

📬 Contact


Want to collaborate or have a question? Let's connect!

Email LinkedIn GitHub X (Twitter) Acumulando Riqueza