phone: (512)424-9900


Experienced technologist and developer seeking a data scientist role. Skilled in coding, data wrangling, data visualization and analysis. Familiar with predictive modeling and machine learning techniques.

Technical Skills

Tools Python (Pandas, Numpy, Jupyter/IPython Notebook, scikit-learn, Scrapy), R (dplyr, data.table, text2vec, tm, ggplot2, caret, rpart, knitr, Shiny), Rstudio, Pycharm
Domains Capital Markets (Finance), Business Analytics, Healthcare, Media & Entertainment
Machine Learning Unsupervised Learning, Supervised Learning, Regression
Other Languages Java, Javascript, PL/SQL, SQL, Ruby, Perl, Bash, Groovy, HTML/CSS
Databases Oracle, MySql, Ingres/Postgres, MongoDB, Blazegraph
Big Data Hadoop, Hive, Pig, Graph Databases (SPARQL/RDF)
Cloud Amazon Web Services (EC2, EMR, SES, SQS, Aurora, Lambdas), Salesforce Cloud (Wave Analytics)

Data Science Projects

Edgar Document Scraping (D&B Partner Innovation Center)

  • Enabled Capital Markets partnerships by blending D&B’s proprietary company data with information on company securities (eg. CUSIP #’s) obtain from public SEC filings
  • Developed Python scripts for scraping unstructured text, ETL and analysis
  • Achieved ~85% coverage of the common stock of publicly -traded companies, as well as significant coverage of bonds and other securities offerings.

Business Seal Image Search (D&B Partner Innovation Center)

  • Architected solution for finding unauthorized use of business seals such as those of the BBB (Better Business Bureau)
  • Developed scripts to automate image searches using TinEye’s API
  • Collaborated with Content Innovation and Analytics teams to build a predictive model relating fraud risk to unauthorized seal usage.

Baseball Story

  • Analyzed batting and pitching skills using an historical database
  • Applied exploratory analysis and statistics to answer the question: “Are Pitchers Good at Batting?”
  • Technologies used: Pandas, Numpy, matplotlib

Text Data Analytics (NLP – Coursera)

  • Used R to analyze SwiftKey text dataset and develop a predictive model for natural language (in-progress)

GHRSST (Global High-Resolution Sea Surface Temperature), Jet Propulsion Laboratory

  • Implemented system for ingest and management of satellite remote sensing meta-data (PHP, Perl).
  • Received NASA Board Award and credited in a NASA Tech Brief.

SCCOOS (Southern California Coastal Observing System), Jet Propulsion Laboratory

  • Researched web-based GIS tools
  • Developed an early prototype using MapServer

Awarix Enterprise Patient Care Visibility

  • Developed innovative real-time patient data visualization tool (Java, XML, SVG).


Lead Developer, Partner Innovation Center
Dun and Bradstreet, Austin, TX 2014-2016

  • Developed POC’s and prototypes to drive new partnerships and organically grow existing ones such as (Salesforce)
  • Presented ideas and demo’s to internal and external audiences
  • Focused on acquiring new data and demonstrating analytics on D&B data
  • Collaborated with strategists and other teams within D&B to enable conversations with prospective partners

Senior Software Engineer, Technology
Dun and Bradstreet, Austin, TX 2013 - 2014

  • Designed and developed major components of D&B 360, Dun and Bradstreet’s CRM integration product
  • Refactored code and improved test coverage

Senior Software Engineer
Involver, Inc. (now Oracle), Austin, TX 2011 – 2012

Senior Java Developer (Contractor)
Dun and Bradstreet (formerly Hoovers, Inc.), Austin, TX **2010 – 2011

Software Engineer
Various Internet and Media companies, Los Angeles, CA 2007 - 2010

Software Engineer
Awarix (now Mckesson), Birmingham, Alabama 2005 – 2006
Developed innovative real-time patient data visualization product at healthcare technology startup

Senior Software Engineer Raytheon ITSS / Jet Propulsion Lab, Pasadena, CA 1999 - 2005
Developed innovative data management and visualization tools for oceanography data center


Johns Hopkins (in-progress), Coursera
Data Science Specialization

Indiana University, Bloomington
Bachelor of Science with Honors, Computer Science; Minor, Mathematics.

Texas Academy of Mathematics and Science, University of North Texas
Earned two years of college credit as a full-time university student while completing high school.