Project Name: Data and Urban Development
Using historical multifamily housing data, we developed a machine learning model that could help predict which US markets were about to enter an economic boom. Preserving the integrity of the original data, the our model consistently performed with an accuracy rate of 91%.
Because I believe my professional background up until this point (Sales) allows me to effectively bridge the Data Science - Stakeholder communication gap. Thanks to my experience at Codeup, I am now well-versed enough in the components of Data Science (Python, modeling, math, etc.) to help people outside its realm understand it better.
Getting better at it. Its capabilities are constantly evolving, and the more I dig into it, the more it amazes me. Plus, the community surrounding it is extremely helpful - it's just a constant improvement of the discipline.
San Antonio, TX | Remote Work
'Competent,' 'Independent,' and 'Teammate'
'Client-facing,' 'Liaison,' 'Consultative'