Contact Information

  • Samuel Rogers
    (832) 863-5277

Description

Data Scientist with 2 years' experience interpreting oil & gas economic data, data-wrangling, and calculating predictions to support intelligent business decisions using Big Data platforms. Proven results in project management, machine learning, computation skills, pattern recognition, ETL and data pipelines.

Location

Houston, Tx

Experience

Data Scientist│Reservoir Engineer, Cosmo Energy LLC, Oklahoma City, OK, Sept 2017-Nov 2019
• Designed and implemented Revenue and JIB Data Pipeline and Processing project for 900 wells, 4100 net mineral acres using web scraping software, Optical Character Recognition (OCR), Python HTML parsing, and SQL
• Predicted future oil and gas production using a decline curve analysis. Routinely evaluated acquisition packages up to $4 million, highlighting key values, confidence intervals, and expected return on investment
• Increased Sigma Quality Level from 3.0 to 3.5, established process control over crucial data acquisition node. Implemented strict process constraints and neutralized costly attributes for statistically significant process reduction
• Developed and analyzed Joint Interest Billings database for 800 + records, providing clear expectation of expenses associated with lease ownerships; developed more accurate net revenue predictions for acquisitions
• Automated daily map of oil & gas activity using raw data streams. Wrote script Python to extract data from public sources, filter based on release date and category, then projected based on spatial relevance of investments

Engineering Intern, Containment Solutions (acquired by NOV), Tulsa, OK Jun 2017-Jan 2018
• Coordinated a team to redesign inventory layout and scheduling to optimize the manufacturing process, increasing production by 12% and $2000 in monthly savings. Ultimately ensured timely and complete product delivery
• Synthesized database corporation-wide, eliminating duplicate and mislabeled products. Resulting database clarified production orders and inventory confusion.

Skills

Data Science Tools: Python, R, Power BI, Tableau, Hive, Spark
Data Engineering Tools: SQL, MongoDB, Azure, Hadoop, MapReduce, Hive, Pig, Sqoop
3rd Party API & Big Data: Enverus, Oseberg, IHS Markit

Education

M.S. in Applied Data Science, Syracuse University, Syracuse, NY
September 2020 GPA: 3.96/4.00

B.S. in Petroleum Engineering, University of Oklahoma, Norman, OK, December 2018
• Minor: Geographic Information Systems