I'm a Data Scientist with a strong background in scientific computing and engineering, focused on building data-driven solutions end to end — from numerical simulations and data analysis to machine learning models deployed as production-ready APIs.

My work sits at the intersection of physics, data science, and software engineering. I enjoy transforming complex systems and raw data into interpretable models, visualizations, and practical applications.

• 📊 Data analysis & visualization using Python (pandas, NumPy, Matplotlib, Seaborn)
• 🧠 Machine Learning & Deep Learning, with a focus on applied computer vision
• ⚙️ Scientific computing & simulations (numerical methods, physical systems)
• 🌐 Backend development for data products (Django, REST APIs)
• 🐳 Reproducible deployments using Docker
• 📈 Business & analytical dashboards with Power BI
• 🔬 Currently working on theoretical and computational studies of black hole physics, with a focus on semiclassical models and numerical analysis.

• Production-style ETL pipeline and data warehouse for tracking e-commerce rankings and prices over time.
• 🐱‍💻 Repo: SL0W-HAND/amazon-best-sellers-dw

• Trained a CNN to classify skin lesions using the HAM10000 dataset
• Deployed the model as a Django REST API, containerized with Docker
• 🔗 Frontend built with Next.js and deployed on Vercel https://melanoma-project.vercel.app/
• 🔗 Model and experiments published on Kaggle https://www.kaggle.com/code/sl0whand/proyectomelanoma
• 🐱‍💻 Repo: SL0W-HAND/melanoma_project

• Backend system for authenticated local video streaming
• Token-based authentication and large-file data handling
• 🐱‍💻 Repo: SL0W-HAND/node-stream

• Desktop application for local file sharing using Electron and Express
• Automatic HTTP server generation and Windows binary distribution
• 🐱‍💻 Repo: SL0W-HAND/Cross_Port

• Numerical simulation of the three-body problem in Python
• Trajectory visualization and animations generated with Matplotlib and FFmpeg
• 🔗 Published as a reproducible notebook on Deepnote https://deepnote.com/app/daniel-carrete--f033/Three-body-problem-47194945-fbd8-4ac8-8947-ede22219a840?utm_content=47194945-fbd8-4ac8-8947-ede22219a840

Languages Python, JavaScript, TypeScript, SQL

Data Science & ML pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Keras, CNNs, EDA, feature engineering

Backend & APIs Django, Node.js, Express, REST APIs

Databases PostgreSQL, MongoDB

DevOps & Systems Docker, Linux, SSH

Visualization & BI Power BI

Other Tools Git, LaTeX, Excel (VBA macros), CSS

• 📍 Based in Chihuahua, Mexico
• 🎓 Engineering Physics graduate (Universidad Autónoma de Chihuahua)
• 🌎 Languages: Spanish (native), English (B2 level)
• ⚡ Curious by nature, driven by continuous learning

If you're interested in data science, applied machine learning, or scientific computing, feel free to explore my repositories or get in touch.

Time of code

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