Data Scientist / Energy Practice Resume
Houston, TexaS
SUMMARY:
Educated Data Scientist with the knowledge and ability to identify points of data in a sea of information. Well - versed in data analysis and scientific research. Able to process new data quickly and communicate it effectively to lay individuals. Proficient in numerous aspects of statistical analysis, data mining, integration, analysis, and presentations. Working knowledge of Machine Learning algorithms, R, Python, SAS, Matlab, and SQL/NoSQL databases.
SKILLS AND TOOLS:
- Python, R, Matlab, SAS, Excel
- Experience with varies data files including JSON, XML, and CSV
- MySQL, PostgreSQL, MongoDB, Redis
- Data analysis, Web scraping, Machine learning, Visualization
- Data mining & Natural Language Processing in R.
- Matlab Programming for Engineers Certificate
- Python NumPy: Scientific Computing with Python Certificate
- Introduction to Hadoop
- Introduction to Tableau
- Complete Introduction to PowerBI
- Data Robot Essentials, Boston 2017
- Trifecta data wrangling software package
- Deep Learning
RELATED EXPERIENCE:
Confidential, Houston, Texas
Data Scientist / Energy Practice
Responsibilities:
- Assisted clients with their data science project involving time series data from IoT sources
- Worked to increase clients understanding of the DataRobot software package for their machine learning needs
- Gained better understanding of supervised machine learning algorithms methods with corresponding performance metrics
- Provided solutions to clients with data wrangling needs utilizing the Trifecta software package
Confidential, Dallas, Texas
Graduate Student
Responsibilities:
- Received an overview of statistical methods from an experimental design aspect
- By utilizing Python, R, and SAS gained an understanding of supervised and unsupervised methods while in data mining class where I provided the python code for the projects
- Given an understanding of scripting ETL for both SQL and NoSQL databases including MySQL, Redis, and MongoDB
- Fundamental concepts of mechanism for data and network security
- Hands on experience with managing, exploring, visualizing, and reporting with large data sets
- Developed a foundation in economic theory with application to real world modeling solutions
- Presented several projects utilizing Tableau in Quantitative Finance.
- Worked on varies case studies to reinforce machine learning algorithms along with an understanding of Natural Language Processing
- Experience with varies data analysis platforms including Jupyter notebook, JupyterLab, Spider, and Rstudio
- Introduction to the Azure platform.
Confidential, Houston, Texas
Petrophysicist/Data Analyst
Responsibilities:
- Analyzed petrophysical data for geologic/engineering field studies
- Wrote python script for petrophysical analysis
- Provided support to asset groups in developing best practices
- Integrated varies data sources for analysis
- Mentored and trained junior staff on well basic log analysis
- Hosted classes to teach staff about basic well log analysis
- Contributed data analysis to several single and multi-well projects
- Oversaw 50 well study by analyzing pre-1958 assets utilizing conductivity derived porosity, which provided better reserve estimates
Confidential, Houston, Texas
Petrophysical Engineer/ Data Analyst
Responsibilities:
- Worked closely with clients to provide petrophysical and geological support
- Analyzed data for geologic/engineering field studies
- Partnered with account managers on technical support for contract tenders
- Oversaw petrophysical study for Cross Road Energy in Permian Basin, encompassing a 15-well study
- Mentored junior petrophysical staff
Formation Evaluation Advisor
Confidential
Responsibilities:
- Interfaced between clients and field personnel
- Provided technical support during operational meetings
- Performed client presentation on varies Logging Confidential
- Worked closely with clients on projects
Confidential
Field Engineer
Responsibilities:
- Run well-logging computer equipment with a unix system
- Coordinated well-site operations with client
- Performed on-site well log analysis for company representatives and geologist
- Completed post-job tasks, including data upload and final log preparation