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Data Accounting

Location:
San Antonio, TX
Salary:
70,000
Posted:
February 25, 2020

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Resume:

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



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