Data Analyst Python

ARTURO TORRES

********@*******.*** 212-***-**** https://github.com/arturoto

I seek to leverage my experience and enthusiasm in programming, Statistics and Machine Learning in an Analyst, Data Science or programming role. I am currently working on the CCA 175-Spark and Hadoop Certification. TECHNICAL CAPABILITIES:

TECHNICAL EXPERIENCE:

Open Source (Statistical Programming) New York, NY Lead Developer February 2018 – Present

• Developing a Python library specifically for Multilevel Models, at the moment one does not exist.

• Implementing models from mathematical statistics textbooks on Multilevel Models into Python code. https://github.com/arturoto/Longitudinal-Data-Analysis-in-Python Jacobs School of Medicine and Biomedical Sciences Buffalo, NY Data Analyst January 2018 – June 2018

• Researching and developing Time-Series Models with research and statistics teams.

• Implementing Multilevel Multivariate Models in Python to study the effects of habituation to food in children to discover predictors in future health outcomes.

• Built an internal tool for management to analyze department surveys of open-ended questions using NLP libraries in Python.

University at Buffalo Statistics and Data Analytics Club Buffalo, NY Founder and President May 2017 – December 2017

• Created and led workshops to introduce a variety of students to the field of Data Science.

• Taught workshops on implementation of Simple Linear, Multiple Linear, Polynomial and Support Vector Regression in both Python and R. The first workshop can be found at https://github.com/arturoto/Regression_W1

Haver Analytics New York, NY

Research Assistant May 2016 – August 2016

• Assistant role validating data through the use of existing shell scripts or writing new scripts in command line environments.

• Completed research to find reliable Macroeconomic indices on Cameroon to expand the firm’s database. University at Buffalo Nanosatellite Lab Buffalo, NY Matlab Programmer January 2016 – May 2016

• Wrote, debugged and maintained MATLAB code for ground control systems to accurately calculate the position of satellites.

HACKATHONS:

NBA Hackathon: New York, NY September 23, 2017

Analyzed datasets provided by the NBA to find the significance of Nielsen TV data, jersey sales and historical game outcomes by means of a Random Forest Classification. Repository: https://github.com/arturoto/nba_hack University of Toronto Datathon: Toronto, Ontario November 10, 2017 Leveraged data provided by the Canadian Ministry of Advanced Education and Skills Development predict student drop-out rates from apprenticeship programs. Trained an Artificial Neural Network to predict a student’s probability of not completing a program.

Additional hackathons: Hack: Trash NYC 2017, UB Hacking 2016 and 2017 EDUCATION:

University at Buffalo, Bachelor of Arts, June 2018 Double major in Computer Science and Economics

Fluent in English and Spanish

Languages: Python (NumPy, StatsModels, TensorFlow, Keras), C++, Java, MySQL, Scala, R, SAS, STATA,

HTML, CSS, JavaScript

Development Environments: Sublime Text,

Git, UNIX/Linux Shell

Developer Communities: Kaggle, Data.World,

DataKind, New York Python Group

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