I ship data stuff to production and teach humans how to do the same.
Coffee-powered ☕, container-friendly 🐳, and mildly obsessed with reproducibility.

• 🧰 Toolbox: Python, SQL, pandas, scikit-learn, LangChain, Streamlit, Airflow, Docker / Dev Containers, GitHub Actions, GCP (Cloud Run, Artifact Registry, BigQuery), Power BI, Looker Studio.

• 🚀 Interests: MLOps, RAG apps, container orchestration, business analytics, and tech education.

• 🧑‍🏫 Teaching: I build hands-on Data Analytics courses (Python → Viz → BI → SQL → ML basics) with labs and real projects.

• ❤️ Collab: Always up for projects with social impact and for mentoring folks getting into data/ML.

• 📚💻✍🏼📓 Work expirience:

  [Coderhouse → Teacher assistant]

  [Kushki pays → Data scientist]

  [Mercado Libre → Data everything] 😵‍💫😰😭

I break things in dev so you don’t have to in prod… (most of the time).

• Shipping Docker + Cloud Run pipelines and deployments.
• Building a RAG assistant (OpenAI + LangChain + Chroma) with WhatsApp integration.
• A tiny-but-mighty time-series forecast using Google Trends (served on GCP).
• Crafting course material and notebooks for Data Analytics & BI.

• Simplest Google Trends Forecast Model → monthly query forecasts (MX/US) with serving on GCP.
  Repo: https://github.com/The-carlos/simplest_google_trends_forecast_model
• Inventory Manager (simulation) → SKU generation, inventory simulation, purchase recommendations, Streamlit dashboard; containerized + CI/CD-ready.
  Repo: https://github.com/The-carlos/inventory_manager
• Restaurant Revenue (end-to-end) → project templatized with devcontainer, Hydra configs, CI/CD, and packaging for prod.
  Want the template? Ping me and I’ll share the repo + notes.

If you want to reuse any of these for teaching or as a starter kit, I’m happy to help tailor them.

• Langs/Libs: Python (pandas, numpy, scikit-learn), SQL, LangChain
• MLOps & Orchestration: Docker, Dev Containers, Cloud Run, GitHub Actions, Airflow
• Data & BI: BigQuery, Power BI, Looker Studio
• Apps: Streamlit, Flask/FastAPI (lightweight APIs)
• Dev: VS Code, WSL/Ubuntu, pre-commit, pdoc, Hydra

Favorite command: docker compose up — favorite safety net: CI that actually runs 😅

• Courses designed with slides + live coding + lab.
• Capstone-style projects with EDA, visualization, storytelling, and a short video pitch.
• Best practices first: clean code, reproducibility, versioning, and “it deploys or it didn’t happen.”

• Email: thecarlossanchezm@gmail.com
• All links in one place: https://linktr.ee/theCarlos
• Also speak Spanish 🇲🇽 (and I’ll happily switch if that’s easier).

I build end-to-end data products (ingestion → modeling → APIs → cloud deploy), teach data analytics, and have fun doing it. If your containers won’t build, we can still be friends — we’ll debug together. 🛠️