Data Scientist Science
Resume:
Ajibola Owoyemi
Data Scientist
Candid, vibrant leader ready and able to provide intellectual experiences, strategic solutions, and mentoring opportunities. Versed in spreadsheets, statistics, machine learning techniques and visualization.
*********@*****.*** • 346-***-****
6039 Shelbourne Park Ln Houston, TX 77084
Summary
Technical Proficiencies
Python for Machine learning
Data science and Visualization
Statistical methods for decision making.
Gocad: (Visualization and Mapping Software)
Paradigm Suite: (3D Seismic Interpretation and Mapping)
Landmark Suite: Openworks, Stratworks, Zmap, Seisworks
Windows: MS Office (Excel, Word, PowerPoint, Access)
Kingdom Suite: (Seismic Interpretation A and Mapping Software)
Petrel: Geology and Geophysics software, well log correlation, seismic interpretation and earth modelling.
Education & Training
Post Graduate Program in Data Science and Business Analytics, 2022
The University of Texas at Austin, McCombs School of Business.
M.S, Petroleum Geology, 2004
Texas A&M University, College Station, TX
MBA, 2002
Federal University of Technology, Akure, Ondo State
B .Tech., Geology, 1989
Federal University of Technology, Akure, Ondo State
Educational Project Experience
FoodHub Order Analysis using Python
Course Python - Foundations
The food aggregator company has stored the data of the different orders made by the registered customers in their online portal. They want to analyze the data to draw some actionable insights for the business. Suppose you are hired as a Data Scientist in this company and the Data Science team has shared some of the key questions that need to be answered. Perform the data analysis to find answers to these questions that will help the company to improve the business.
Skills and Tools
Exploratory Data Analysis (Variable Identification, Univariate analysis, Bi-Variate analysis), Python
Course Business Statistics
This project used statistical analysis, a/b testing, and visualization to decide whether the new landing page of an online news portal (E-news Express) is effective enough to gather new subscribers or not. The simulated dataset has certain important metrics such as converted status and time spent on the page that will help to conclude the effectiveness of the new landing page. Apart from that, the dependence of conversion on the preferred language will also be analyzed in this project.
Skills and Tools
Hypothesis Testing, a/b testing, Data Visualization, Statistical Inference
Course Supervised Learning - Foundations
Analyze the used devices dataset, build a model which will help develop a dynamic pricing strategy for used and refurbished devices, and identify factors that significantly influence the price.
Skills and Tools
EDA, Linear Regression, Linear Regression assumptions, Business insights and recommendations
Course Supervised Learning - Classification
Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.
Skills and Tools
EDA, Data Pre-processing, Logistic regression, Multicollinearity, Finding optimal threshold using AUC-ROC curve, Decision trees, Pruning
Course Ensemble Techniques
Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.
Skills and Tools
EDA, Data Preprocessing, Customer Profiling, Bagging Classifiers (Bagging and Random Forest), Boosting Classifier (AdaBoost,Gradient Boosting,XGBoost), Stacking Classifier, Hyperparameter Tuning using GridSearchCV, Business insights
Course Model Tuning
"ReneWind" is a company working on improving the machinery/processes involved in the production of wind energy using machine learning and has collected data of generator failure of wind turbines using sensors. The objective is to build various classification models, tune them and find the best one that will help identify failures so that the generator could be repaired before failing/breaking and the overall maintenance cost of the generators can be brought down.
Skills and Tools
Up and downsampling, Regularization, Hyperparameter tuning
Other Professional Experiences
Wellsite Geologist with Columbine Corporation, Texas. - 01/2022- Till Date
Working in PBX Eagle ford field; Analysis of ditch cuttings and picking of reservoir tops, gas monitoring and generation of mud logs.
Chevron Nigeria Limited, 07/1997 – 08/31/2021
Wellsite Operation Unit Lead
Senior Earth Scientist - Usan Deep water Asset Management and well planner,
Earth Scientist - Static Modeler
Earth Scientist – Development geology and Reservoir Management
Earth Scientist- Development geology, prospect generation and well planning.
Ashland Oil Nigeria Unlimited, Lagos, Nigeria, 1995 - 1997
Log Analysis & Reserves Estimation
Mosunmolu, Surulere, Lagos, 1995
Age dating using foraminifera species.
Sequence stratigraphic interpretation.
Micropaleontological analysis of ditch cuttings.
Paleo-environmental interpretation using micro faunas.
Petrolog Limited, Delta State, 1990 - 1993
Mud Logging
Side wall core analysis.
Pore pressure monitoring.
Formation analysis, gas and pay zone detection.
Publications
Owoyemi Ajibola Olaoluwa (2004): Sequence Stratigraphy of Niger Delta, Delta field, offshore master’s Thesis, Texas A&M University, Texas A&M University.
Owoyemi and Willis 2006: Depositional Pattern Across Syn-depositional Normal Faults, Niger Delta, Nigeria (JSR, 2006 v.76), AAPG Houston, 2006.
Owoyemi Ajibola 2009, East Asset Team Chevron Nigeria Limited; Static Reservoir Modelling of Tubu B-01 Reservoir Tubu Field Nigeria, Chevron Corporate Reservoir Management Forum, Houston Texas.
Owoyemi Ajibola, Beatrice parker & Ozzy Ajibade (2015); Usan 4D Monitor Interpretation: -. A Geophysical Tool for Reservoir Surveillance and Monitoring. NAPE 2015.
Godin Agunwoke, Ajibola Owoyemi, Ozzy Ajibade, Robert Kieckhefer, Chris Ogundare (2015); Estimating Oil/Water Contact Using geophysical technique supported with well data. Chevron Corporate Reservoir Management Forum, Houston Texas.
Memberships & Affiliations
American Association of Petroleum Geologists (AAPG)
Nigerian Association of Petroleum Explorationists (NAPE)
Nigerian Metallurgical and Geoscientist Society (NMGS)
Certified Geologist - Council of Mining Engineers and Geologists (COMEG)
Scholarships & Awards
Chevron Nigeria Limited Overseas Postgraduate Scholarship (2002 – 2004)
Best Graduating Student in Applied Geology (1989)
Scholarship award for being a University Scholar (1987, 1988 and 1989 )
Overall best student award in Anglican Grammar School Ijare (1983-1984)
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