Data Scientist Resume McKinney, TX - Hire IT People

SUMMARY:

Experienced at data ingestion, wrangling, understanding, obtaining and visualizing valuable results through creative perspectives. Strong background in engineering, database, statistics, and mathematics.
Excellent software development and customer support skills leading to productive relationships.
Very effective communicator with expertise in training at a wide range of technical levels domestically and internationally.

TECHNICAL SKILLS:

Hypothesis testing, multiple linear regression, principal component analysis, linear discriminant analysis, logistic regression, predictive modelling, machine learning, data analytics, bootstrapping, data cleansing, data mining, k - nearest neighbor, support vector machines, decision trees, random forest, k-means, DBSCAN clustering, visualization, Tableau, XML, JSON
Data Analysis: Python, Jupyter Notebook, SAS, R, R-Studio
Operating Systems: Unix, Linux
Database: Oracle, MySQL, NoSQL, MongoDB, SQL
Scripting: ksh, perl
Commercial Modelling/Simulation: Petrel, Eclipse, Nexus
Finite Element Reservoir Simulator: Object Reservoir
Subject Matter Expert for development of a corporate C# application

PROFESSIONAL EXPERIENCE:

Confidential, McKinney, TX

Data Scientist

Bringing new tools and capabilities to the marketing department.
Developed Python code to expedite and enhance forecasting capabilities reducing a one - day process to 30 minutes. Created effective Tableau visualizations.

Confidential

Data Scientist

Multi-variable regression analysis to predict production volumes from well log data.
Data mining study in Python of public domain data from horizontal wells in Texas documenting which variables best predict one-year production.

Confidential, Plano, TX

Data Scientist

Developed corporate CO2 flood forecasting tool providing consistent and accurate production and economic forecasts across all CO2 assets.

Confidential, Dallas, TX

Data Scientist

Performed finite element simulation of Canadian and Haynesville shale gas wells including history matching and rate forecasting.

Confidential, Plano, TX

Data Scientist

Designed, developed, and implemented a system to monitor 65+ databases and 10 servers on a daily basis as well as obtain information on demand to proactively identify and address potential issues.
Simultaneously supported several production Federal Reserve Bank financial systems keeping them available 24x7.

Confidential

Data Scientist

Confidential

Data Scientist

Designed, developed, and implemented a well-log 2-D and 3-D display system to maximize use of these data.
Developed a methodology to warehouse a large volume of experimental special core analysis data.
Developed software to analyze and design pressure transient tests.