Matthew B Santos
805-***-**** *************@*****.*** GitHub: Mattsantos541
Profile
I am enamored by the problems we can solve and the stories that can be told with data. In data science, we can find different ways to approach traditional problems that plague every industry. I want to help solve these problems with data driven approaches that can maximize results for everyone.
Education
Codeup
Certificate of Completion, Data Science
Project-based 20-week career accelerator that provides 670+ hours of expert instruction in applied data science. Develop expertise across the full data science pipeline (planning, acquisition, preparation, exploration, modeling, delivery), and become comfortable working with real, messy data to deliver actionable insights to diverse stakeholders.
University of Phoenix
B.S. in Finance
Aug 19 -Jan 20
Nov 11 - Jan 14
Career
COORDINATOR/ ACCOUNTANT
City of San Antonio
Helped streamline three departments (aviation, city council,
housing development) to digitize their accounting processes. served as a
liaison between council members and districts in funding
several projects including: Barkitecture 2019, youth soccer
league, and several SA Fiesta activities
ACCOUNTING/ INVENTORY
The Block SA
Helped with a successful rebrand in 2018, conducted research
for the new inventory based on ratings and sales. Will be
consulted for the expansion coming in 2020.
ACCOUNTING
University of Florida- Nephrology
Helped improve and stereamline the process for both travel
reimbursements and project proposals. Assisted in picking the
location for a new dialysis center in expansion proposal (5 year
plan),
Nov 18 – Jul 19
2016- 2020
2014- 2015
Development Projects
Time Series Fitbit Prediction
Using Fitbit data, used Facebooks prophet and scikit-learn to predict the
future two weeks of activity. Used Fitbit data from a single person to
predict their steps and weight loss for the two weeks post data
acquisition.
GitHub README NLP Analysis
Used NLP to scrape data from GitHub repository README files. The goal
will be to build a model that can predict what programming language a
repository is, given the text of the README file.
Zillow Zestimate Error
Using clustering to attempt to improve upon the Zestimate from the real
estate app, Zillow. We utilized clustering, regression and some
feature engineering.
TMDB Box Office
Using metadata to predict a film's international box office return. using regression and cross validation to predict the return on 4300 films based on a training a given 7,000 films.
Nov 2019
Nov 2019
Oct 2019
Dec 2019
Additional Skills
Applied Statistics - Machine Learning - Python - Natural Language Processing - Pandas - Data Storytelling - Matplotlib- Seaborn - SQL- Business Objects (SAP) - Tableau - Microsoft Excel/Access