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I may be slow to respond.
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santiagoahl/README.md

Hi 👋, I'm Santiago Ahumada Lozano

A Mathematics, Machine Learning and Data Science Student!

coding

santiagoahl

santiagoahl

sahumadaloz

  • 🔭 I’m currently working on RNA taxonomy prediction

  • 🌱 I’m currently learning Causal Inference, Data-Driven Decision Making, Storytelling

  • 👯 I’m looking to collaborate on Causal Inference, Customer Churn, Customer Segmentation

  • 🤝 I’m looking for help with more machine learning enthusiasts

  • 📝 I regularly write articles on https://elparaisodecantor.wordpress.com/sahumadal/

  • 💬 Ask me about Scikitlearn, Linear Algebra, Customer Churn

  • 📫 How to reach me sahumadal@unal.edu.co

  • 📄 Know about my experiences I'm a road cycling passionate 🚵🏻‍♂️

  • ⚡ Fun fact Agua panela are my breakfast, lunch and dinner when working @ home!

Connect with me:

sahumadaloz santiago-ahumada-lozano 19552094 santiagoahumadal

Languages and Tools:

gcp aws kubernetes linux mysql pandas python pytorch scikit_learn tensorflow

santiagoahl

 santiagoahl

santiagoahl

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  1. breast-cancer-prediction breast-cancer-prediction Public

    Machine Learning model API deployed with GCP & DVC. Predicts a breast-cancer diagnostic.

    Jupyter Notebook 3 1

  2. scikit-learn scikit-learn Public

    Forked from scikit-learn/scikit-learn

    scikit-learn: machine learning in Python

    Python

  3. RNA-taxonomy-prediction RNA-taxonomy-prediction Public

    We worked with an open csv-dataset which consist on RNA sequences with several taxonomies. Using python we were able to create an XGBoost model that classifies that sequence into 1 of 19 differents…

    Jupyter Notebook 3

  4. world-happiness-api world-happiness-api Public

    A Machine Learning Model built in scikit-learn using Support Vector Regressors, Ensemble modeling with Gradient Boost Regressor and Grid Search Cross Validation.

    Python 4

  5. beans-classification beans-classification Public

    A computer vision model using a pre-trained model from the hugging face hub. It classifies beans' photos by its quality.

    Jupyter Notebook 1