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.

adw7bd@r.postjobfree.com • 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)

Contact this candidate