Connie L Ruhr
Diamondhead, *****, United States, 228-***-****, ********@*****.***
SUMMARY
Analytical Senior Data Scientist with over 5 years of experience in advancing data analytics solutions for complex challenges. Expertise in machine learning algorithms, predictive modeling, and data mining, applied to deliver actionable insights. Proven ability to manage the development of hydrographic and geospatial datasets, driving quality and efficiency in analysis. Strong commitment to enhancing decision-making processes within organizations. Ready to contribute to RemoteWorker US by leveraging unique skills in data science to support national security initiatives.
WORK EXPERIENCE
07/2024 – Present
Hydrographic Data Analyst, General Dynamics Information Technology
Stennis Space Center, United States
Employ NAVOCEANO provided equipment, software, tools, and utilities to implement mathematical processes and various scientific functions on complex scientific data.
Extract and compile bathymetry, hydrographic, and geospatial data from both classified and unclassified NAVO databases through data mining techniques.
Consolidate data files using specialized functions to construct a digital grid file, facilitating the plotting of paper charts and manual contouring.
Apply principles of Physical Science to process and refine multi-beam sonar, single-beam, gravity, and digital nautical chart data to enhance precision.
Conduct rigorous quality control on bathymetric data to ensure data integrity and optimize edge matching.
03/2023 – 07/2024
Data Scientist T3, Leidos Holdings
Stennis Space Center, United States
Leverage methodologies, processes, and systems to integrate and analyze both structured and unstructured datasets to derive insights.
Employ advanced statistical concepts and algorithms for predictive and prescriptive data modeling.
Collaborate with software engineers to streamline data management and enhance analysis workflows.
10/2016 – 02/2023
Project Lead/Data Analyst, NVision /Skylla Engineering/Naval Oceanographic Office
Stennis Space Center, United States
Compile and produce comprehensive Hazards to Sub-Marine Navigation Charts by synthesizing hydrographic, bathymetric, oceanographic, navigational, and geophysical data.
Establish and maintain in-house quality control protocols to guarantee data accuracy and reliability.
02/2016 – 06/2016
Marketing and Financial Analyst, Silver Slipper Casino
Lakeshore, United States
Conduct detailed financial, operational, and technical analyses under the direction of the Director of Finance.
Formulate financial and operational metrics to guide management decisions and strategies.
02/2016 – 06/2016
Business Analyst – Human Resources, University of Southern Mississippi
Hattiesburg, United States
Utilize analytical techniques to effectively translate business requirements into clear specifications.
Oversee testing processes by preparing comprehensive test plans and evaluating test results for quality assurance.
07/2006 – 07/2015
Skylla Engineering/Naval Oceanographic Office
Stennis Space Center, United States
Employ NAVOCEANO provided equipment, software, tools, and utilities to implement mathematical processes and various scientific functions on complex scientific data.
Extract and compile bathymetry, hydrographic, and geospatial data from both classified and unclassified NAVO databases through data mining techniques.
Consolidate data files using specialized functions to construct a digital grid file, facilitating the plotting of paper charts and manual contouring.
Apply principles of Physical Science to process and refine multi-beam sonar, single-beam, gravity, and digital nautical chart data to enhance precision.
Conduct rigorous quality control on bathymetric data to ensure data integrity and optimize edge matching.
EDUCATION
08/1983 – 05/1985
Pearl River Community College
Associate Degree
Poplarville, United States
Completed 61 hours.
SKILLS
ArcGIS (Pro and Map)
Data conversion
Data manipulation
Linux
Oracle (SQLPLUS)
Fledermaus
GIMP
Excel
Power Point
PFMLOAD
PFMVIEW
CARIS
SABER
MATLAB
Python
Leadership
Troubleshooting
Quality control
Interpersonal skills
Communication
Machine Learning
Data Analysis
Data Cleaning
SQL
Predictive Analytics
Pattern Recognition
Decision Trees
Data Visualization
Teamwork