image of Daniel Lagos

About me

Working on my Masters of Science in Data Science with a specialization in Artificial Intelligence.  I have 9 years of service in the United States Army. When I left the Army I was a Captain.  I also have a strong background in Operations, Management, Sales and Business Development, about 9 years total.  I also have a background in software, Python, Pandas, Numpy, Scikict-Learn, Karas). I can also use SAS.

  • Machine Learning
  • Artificial Intelligence
  • Data Science

My Work

Here are some examples of my work. Most of what I do is in SAS or Python.

Naive Bayes Model - CD/CI

A Simple Naïve Bayes classification model using Heroku and GitHub for continuous deployment and integration. Python, Heroku, GitHub

KNN Model - CD/CI

KNN model used to predict if a tumor is malignant or benign.  Demonstrating usage of Heroku & GitHub for continuous deployment and integration. Python, Heroku, GitHub

Decision Tree's & Neural Networks

CHIS 2020 to search for & quantify the association between depression & poverty levels in adults in the state of California.  Python, Keras.

Case Study

The Association Between Suicide Attempts and Gender Among High-School Students in the United States. In SAS Enterprise Guide.

Ordinal Logistic Regression

Ordinal Logistic Regression searching for association between General Health & Poverty. Written in SAS

PCA

Principle Component Analysis conducted on CHIS  2020. Written in SAS Enterprise Guide.

Current Work - Expansion Models & Neural Networks

First, this is a passion project, just something that I am deeply interested in. A Machine Learning Algorithm that will quantify the association between a successful expansion of a brick & mortar shop (gas station, coffee shop, liquor store, or fast food restaurant), and the characteristics of a specific location. The intent is to better identify specific locations that will predict expansions that result in over $1 million in revenues per year. Pyton, Keras.

Let's get in touch today!

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