Eretoru Nimi Robert
Graduate Teaching Assistant @Mewbourne School Of Petroleum And Geological Engineering
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WORK HISTORY
Graduate Teaching Assistant @Mewbourne School Of Petroleum And Geological Engineering
Norman, OK, US
Optimized a Random Forest classifier model for predicting failure types experienced by a drill bit during drilling operations by implementing stratification and resampling techniques in addressing the inherent data imbalance problem, thus resulting to a significant increase in the f1-score metrics by 80%. Currently engaging in rigorous data analysis to interpret large datasets and validate experimental findings.Conducted an exploratory data analysis to identify key factors affecting porosity in geothermal wells. Utilized dimensionality reduction techniques to preprocess the data, and developed k-means clustering model. The insights gleaned from this analysis revealed distinct porosity patterns within geothermal wells, enabling the categorization of wells into meaningful clusters based on shared characteristics.Support professors in delivering classroom lessons, managing exams, guiding, and mentoring students to foster an effective learning environment.
EDUCATION
University of Benin
Bachelor of Engineering - BE, Petroleum Engineering, Second Class Hons. (Upper Division)
University of Oklahoma
Master of Science - MS, Data Science & Analytics, 4.0/4.0
University of Benin
Diploma, Applied Microbiology, Credit
University of Oklahoma
Master of Science - MS, Petroleum Engineering, 4.0/4.0
ABOUT ERETORU NIMI ROBERT
I am pursuing two master\'s degrees in Data Science & Analytics and Petroleum Engineering at the University of Oklahoma, where I aim to further enhance my knowledge and expertise in these domains. I work as a Graduate Teaching Assistant at Mewbourne School of Petroleum and Geological Engineering, where I support instructors and students in delivering and facilitating effective learning experiences. I also apply my skills in data science and petroleum engineering to conduct research and analysis on various topics, such as rock type classification, gas production prediction, and stock market modeling, using advanced machine learning algorithms and techniques. Previously, I worked as an Operations Engineer at Waltersmith Petroman Oil Limited, where I increased facility performance, enhanced refinery efficiency, and boosted sales and revenues through data-driven analysis and quality control. I also have experience as a Business Analyst at Bits Logistics Services, where I devised and executed high-impact strategies that resulted in significant business growth and customer engagement. I am passionate about harnessing the power of data to facilitate informed decision-making and optimize operations within industries. I possess a diverse skill set, encompassing data analysis, machine learning, and engineering operations, which uniquely equips me to tackle multifaceted challenges. I am eager to connect with like-minded individuals and organizations who share my vision and values. Let\'s engage in a conversation and explore the endless possibilities to collaborate, innovate, and create lasting impact through data-driven solutions. Together, we can navigate the exciting journey of turning data into a powerful catalyst for success.
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