Alejandro Galindo

Data Scientist

Oaxaca, Mexico

Summary

I am a passionate data scientist, I love working with data and create solutions based on it, I have experience in classic Ml models tasks like Classification, Time-Series, Customer segmentation, etc, as well as creating and implementing DL models like sentiment analysis or computer vision tasks. I also have experience working with spark, AWS (sagemaker, EC2) and git/Github.

Languages:

English, Spanish

Favorite Python Packages:

Pandas, NumPy, PyTorch, sci-kit learn, Matplotlib, Plotly, Pyspark, Keras.

Experience

Some of the projects that i've worked on are:

Customer Segmentation Report - GitHub link

Machine learning project involving both supervised and unsupervised learning for Arvato Financial Solutions

Assembled two ML models that can find the best groups and individuals that can become new customers

Classification model achieved ~80% AUC score, ending at 15^th in the in-class Kaggle competition

Federated Learning Model - GitHub link

Federated Deep Learning model build with PySyft and PyTorch

Built a model that can train on multiple private data without leaking any sensitive information

The test accuracy achieved for the secured federated model after doing training for 40 epochs, was 93.42%

Flower Classification application - GitHub link

Developed a full DL command-line app that can train on flower images and predict top 5 classes

Disaster Response web application – GitHub link

Machine Learning Web Application using sci-kit learn, Bootstrap and Flask

Developed web app that tells you in real-time the type of disaster a certain message is trying to tell and thus, reduced the aid response time.

Skills

Amazon Web Services (AWS), Artificial Intelligence (AI), Big Data, Flask, Git, Machine Learning, MySQL, NumPy, Pandas, PostgreSQL, SQL, Spark