Skip to content
View muerza's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report muerza

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
muerza/README.md

👋 Hey, I'm Fernando

📊 Data Scientist • 🐍 Python Fan • 🚀 Automation Lover
🇲🇽 Based in CDMX | LinkedIn | Website

🧠 About Me

Hi! I'm Fernando — I like turning raw data into cool stuff.
I build data-powered solutions that help businesses make smarter decisions.
Currently geeking out on neural networks 🧬 and automating boring tasks with tools like Make and n8n ⚙️.

I’m all about:

  • Clean code, clean data
  • Fast pipelines
  • Real impact
  • Buissnes solutions

🛠️ Skills

  • 🐍 Python, SQL
  • 📦 pandas, NumPy, scikit-learn
  • 🧪 EDA, feature engineering, modeling
  • 🐳 Docker, 🧑‍🍳 Django, 📓 Jupyter
  • 🤖 ML pipelines & API deployment
  • 🔁 Automation (Make, n8n)

🚧 Projects

🔍 Churn Prediction – Beta Bank

Predicting customer churn for a fictional bank to help with retention.
👉 See the repo

🏡 Real Estate Valuation API (Live)

Built and deployed a property valuation model (R² = 0.904).
📦 Django + Docker API → reduced valuation time from 4h to 39s!

🌐 Connect With Me

Pinned Loading

  1. beta-bank-churn-prediction beta-bank-churn-prediction Public

    Customer churn prediction for a bank using supervised learning, handling class imbalance with upsampling and optimizing for F1 score with ROC-AUC reporting.

    Jupyter Notebook

  2. oilygiant-oil-well-selection oilygiant-oil-well-selection Public

    Oil well selection under business constraints: predict reserves with linear regression and estimate profit uncertainty and loss risk using bootstrapping.

    Jupyter Notebook

  3. gold_extraction_flotation gold_extraction_flotation Public

    Predict gold recovery at rougher and final stages using a multi-output regression model, evaluated with sMAPE and improved via hyperparameter tuning.

    Jupyter Notebook

  4. sure-tomorrow-ml-privacy sure-tomorrow-ml-privacy Public

    Machine learning project for an insurance company: customer similarity (kNN), benefits classification/regression, and privacy-preserving data obfuscation using an invertible matrix.

    Jupyter Notebook