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👋 Hello, I’m Isaac

I'm a ML and Data Engineer.

Skills 👨‍💻

  • English (Full Pofessional Proficiency C1) 🇺🇸 and native Spanish 🇪🇸
  • Python, Scala, Apache Spark (Python and Scala APIs), SQL, AWS, GCP, Azure (AZ-900 Certficate), Docker, Kubernetes, SQL and NoSQL Databases.
  • Data Engineering
  • Machine Learning
  • Data Science
  • Critical thinking, decision-making and problem solving
  • Data Driven Strategies
  • Agile Methodologies
  • GNU/Linux OS

Certifications 📜

Currently learning about 🌱

  • Rust
  • Portuguese

Isaac Hernández 's Projects

box-plots-sklearn icon box-plots-sklearn

An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

contribute-to-this-project icon contribute-to-this-project

This project is waiting for your contribution. If you have never contributed code on GitHub before, this is the project to get you started.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

deep-learning-specialization icon deep-learning-specialization

Deep Learning Specialization by DeepLearning.AI offered through Coursera and sponsored by the Google Developers Machine Learning Bootcamp LATAM 2022

desihigh icon desihigh

An introduction to DESI & Dark Energy for high schoolers with hot-off-the-telescope data! :telescope:

etl-conagua icon etl-conagua

ELT Pipeline using Airflow, Docker, S3 and BigQuery to extract weather data from the Conagua API

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

kaggle-competitions icon kaggle-competitions

This repository contains the datasets, scripts and notebooks for the Kaggle Competitions

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

llm-chatbot icon llm-chatbot

Build a Chatbot in Streamlit to perform Generative QA with indexed documents in a Vector DB as knowledge base

neural_networks_lectures icon neural_networks_lectures

This repository contains the notebooks, datasets and exercises from the lectures of the neural networks course

nlp_specialization icon nlp_specialization

Repository for the NLP Specialization by DeepLearning.ai offered through Coursera

notas-tmrn icon notas-tmrn

Colaboración para las notas del Seminario de Aplicaciones Matemáticas I

r-course icon r-course

Una introduccion al analisis de datos con R y R Studio

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