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Ebinyun Abigail Norman-Atonkere

@ebinyunabigailnorman

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Graduate mechanical engineer using Python and machine learning to support offshore subsea integrity decisions.

United Kingdom

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What I'm looking for

I’m looking for a role where I can use Python and machine learning to support offshore subsea integrity and reliability decisions, while contributing to safe, well-documented engineering through risk-informed approaches and clear technical delivery.

I supported offshore subsea installation engineering through a TechnipFMC (Aberdeen) MSc Industry Project, analysing Dynamic Amplification Factor (DAF), structural response, strain behaviour, and pipeline performance under dynamic loading to inform vessel selection and offshore planning.

I built predictive and classification models in Python—Gradient Boosting, Random Forest, Polynomial Regression, and Decision Trees—using Pandas, NumPy, and Scikit-Learn, and prototyped a decision support framework for DAF prediction from historical project data.

Before that, at Nigerian Midstream & Downstream Petroleum Regulatory Authority (NMDPRA), I worked with multidisciplinary teams on technical evaluations, reviewing engineering documentation and operational data to support safe operations, quality, regulatory compliance, and project delivery.

I also contributed to process safety and risk assessment activities (HAZID, HAZOP, LOPA, SIL, etc.), supporting hazard identification and consequence-focused fire and explosion risk assessment, while applying structured problem-solving in safety-critical environments.

Experience

Work history, roles, and key accomplishments

Current

Education Teaching Assistant

Current

Now Education

Nov 2025 - Present (9 months)

Deliver classroom and one-to-one support within a structured educational environment, applying communication and teamwork skills.

Communication Skills Problem Solving Teamwork

Offshore Subsea Engineering Project

TechnipFMC

Jun 2025 - Aug 2025 (2 months)

Supported engineering analysis for offshore subsea installation projects, evaluating Dynamic Amplification Factor and structural response. Developed machine learning models and a decision support framework using Python.

Python Pandas NumPy scikit learn Machine Learning Gradient Boosting Random Forest Subsea Engineering Offshore Installation Data Analysis

Graduate Engineer

Nigerian Midstream & Downstream Petroleum Regulatory Authori

Jul 2023 - Jul 2024 (1 year)

Collaborated with multidisciplinary teams in technical evaluation of oil and gas infrastructure projects. Contributed to process safety and risk assessment activities including HAZID, HAZOP, and LOPA.

Process Safety HAZID Hazop LOPA Risk Assessment Engineering Documentation Regulatory Compliance

Education

Degrees, certifications, and relevant coursework

University of Aberdeen

Master of Science, Safety and Reliability Engineering

Grade: 17.00/22.00 (Commendation)

Activities and societies: Sponsored and Recipient of the 2024/2025 Shell Niger Delta Postgraduate Scholarship. Dissertation: Developed machine learning based predictive models and a decision support framework for Dynamic Amplification Factor (DAF) prediction during subsea flexible pipe installation.

Master of Science in Safety and Reliability Engineering (Offshore Systems and Subsea Engineering) with a grade of 17.00/22.00 (Commendation).