Machine Learning

With knowledge in AI, data analytics, data science, python, Machine Learning, Deep learning, uncertainty in organizations, computer vision, SQL, Big Data, etc.

In addition to my university studies, I have developed quite a few high-level courses, several Coursera specializations, as well as different courses on Udemy.

To have a look to some of the project I am working now, please follow the next button. Be aware that this projects are in construction.


  • PyCharm, Jupyter Notebook, Google Colab
  • Python Scripting and Automation
  • Web Scraping
  • Beautiful Soup
  • Selenium Web Driver
  • Request
  • WTForms
  • Data Science
  • Pandas
  • NumPy
  • Matplotlib
  • Scikit learn
  • Seaborn
  • Python GUI Desktop App Development
  • Front-End Web Development
  • HTML 5
  • CSS 3
  • Bootstrap 4/5
  • Bash Command Line
  • Backend Web Development
  • Flask
  • Django
  • REST
  • APIs
  • Authentication
  • Web Design
  • PythonAnywhere
  • Heroku
  • Linear Regression
  • Regularization
  • Lasso Regression
  • Ridge Regression
  • Elastic Net
  • K Nearest Neighbors
  • K Means Clustering
  • Decision Trees
  • Random Forests
  • Natural Language Processing
  • Support Vector Machines
  • Hierarchal Clustering
  • PCA
  • Model Deployment
  • Neural Network Basics
  • TensorFlow Basics
  • Keras Syntax Basics
  • Artificial Neural Networks
  • Densely Connected Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • AutoEncoders
  • GANs – Generative Adversarial Networks
  • Deploying TensorFlow into Production


  • PostgreSQL y PgAdmin.
  • SQLite
  • Queries a una basedatos con SQL
  • Data análisis con SQL
  • GROUP BY statements
  • SQL Filtering / WHERE Statement
  • Date Filtering y Timestamps
  • SQL Aggregate Functions
  • Flutter
  • Github Actions
  • React

How can I help you?

Let’s work together on your project or idea.


  • Extensive knowledge of Python, Numpy, Pandas, Matplotlib, Seaborn.
  • Scikit Learn, including: Linear Regression, Lasso, Ridge, Rubber Net, K Nearest Neighbors, K Means Clustering, Decision Trees, Random Forests, Support Vector Machines, Hierarchical Clustering, DBSCAN, PCA.
  • Natural Language Processing: Regular Expressions, Spacy, Latent Dirichlet Allocation for topic Modeling, NLTK, etc.
  • Computer Vision with OpenCV: image processing, video streaming, object detection, face detection, deep learning with Keras.
  • Exploratory data analysis, Feature Engineering, data storytelling.
  • Tensorflow: neural networks, Keras, densely connected networks, convolutional neural networks, recurrent neural networks, automatic encoders, GAN: generative adversarial networks.
  • Deployment using Flask and Django.
  • Automation using python and the Automation Anywhere RPA tool: RPA task bot development, web automation, Scraping to PDF, web scraping, form automation, email automation, Excel automation, office automation in general, etc.
  • Integration with Python, SQL and Tableau/Power Bi.

Looking for a Data Scientist?