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Work Background
VerizonGeospatial Data Analyst III
Apr. 2023Dallas, Texas, United States• Ensure data quality in the data-driven transformation project for network transformation projects.
• Developed advanced statistical techniques and advanced macro-VBA scripts to automate workflow, improve delivery of project by reducing time spent on task by ~80%
• Provide insight from data using compelling visualization and data storytelling to stakeholders to identify areas of improvement in the data science pipeline and improve business decisions
• Geocoding of government-provided addresses, enabling the team to efficiently build fiber optics routes and secure a subsidy, resulting in a 30% reduction in project completion time.
The University of Texas at DallasDoctoral Research Assistant
Jan. 2017 - Dec. 2022Richardson, Texas, United States• Converted geologic data sets into research-ready data sets using SQL to drive research project success, providing the project with 100% of the data needed to publish a peer-reviewed paper.
• Analyzed and conducted geologic research with field and experimental data using R, Python, Incorta, and STATA programming language to produce an automated spreadsheet of data analysis results, reducing the time required to complete analyses by 30% compared to the traditional method.
• Developed high quality geologic maps using ArcGIS, QGIS, and key experience in GIS data analysis and published results in peer-reviewed international journal.
• Managed project team workflows, employing agile principles and ensured deliverables were completed on schedule
• Designed and implemented ETL processes for research data resulting in 25% reduction in time and 30% improvement in data quality.
Federal University Oye-EkitiAssistant Lecturer
Mar. 2015 - Dec. 2016Ekiti, Nigeria● Instructional Design & Agile Training Development: Redesigned and delivered a geo-statistics curriculum using Agile
methodologies, incorporating data-driven insights and interactive eLearning modules. Improved student research quality by
80% and program success rates to 98% through iterative feedback cycles and modernized training materials.
● Process Optimization & Change Management: Spearheaded adoption of predictive analytics tools for soil analysis,
aligning training programs with technical workflows. Resulting data-driven decision-making reduced institutional costs by
$230K and served as a template for cross-departmental risk mitigation strategies.
● Resource Modernization: Created standardized job aids, including video tutorials and visual guides (using tools akin to
Adobe Premiere Pro), to simplify complex geostatistical concepts. Enhanced user proficiency and engagement across 200+
students and faculty.
● Stakeholder Collaboration: Partnered with faculty and industry experts to align curriculum objectives with evolving
technical standards, ensuring seamless adoption of new tools and methodologies.
Frontier Oil LimitedData Scientist
Dec. 2012 - Dec. 2015Nigeria• Advised executives on new opportunities, workflow optimization, product ideation and strategy to increase asset
economic value/life driving business growth and improve competitiveness.
• Build ML/Neural Network Developed based Classifiers/Regressors that predict geological features at different scales across through
the Exploration and Production value chain that translated to increased recovery and reduced costs.
• Deploy pretrained ML models to identify and extract structural features from batch seismic data delineating 1D, 2D, and
3D trends leading to a 10% increment in the efficiency of exploratory drilling campaigns.
• Real-time monitoring of pressure data ingested from downhole IOT sensors to detect anomalous behavior in production
system reducing operational downtime by 50%.
ShellGeoscience Intern
May. 2012 - Aug. 2012• Researched the discovery of gas deposits within the chalk group using amplitude extraction, well log analysis/interpretation, volumetric calculation and risk analysis resulting in a 30% improvement in gas production from Shearwater Field.
• Performed detailed seismic interpretation, attribute analysis, depth conversion, and seismic sequence analysis/interpretation of the chalk/intra chalk within the Shearwater Field using Petrel and Petra Software.
• Interpreted and integrated multiple subsurface data sets to characterize the chalk reservoir to help the shearwater team make informed business decisions.
ExxonMobilGeoscience Intern
Mar. 2011 - Sep. 2011Lagos, Nigeria• Deployed pre-trained ML models to identify and extract structural features from batch seismic data delineating 1D, 2D, and 3D trends for a 10% efficiency improvement in exploratory drilling campaigns.
• Created dashboards and prepared reports and visualizations to communicate insights and recommendations to technical and non-technical decision-makers eliminating ambiguities in proposed alternatives.
• Ensured data integrity (QC) and created a simple aggregation framework that pulled data from various corporate repositories to a single repository to enable geoscientists and engineers perform more effectively.
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