Geophysicist · Signal Analysis · AI Engineering

Hafsah Anibaba

Earth signal analysis using AI engineering, for optimal and sustainable energy resource and environmental management.

Hafsah Anibaba Profile
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AI/ML for Geophysics

Applying machine learning to seismic interpretation and subsurface signal analysis — automating fault detection, facies classification, and horizon mapping.

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Seismic Interpretation & Petrophysics

Well correlation, fault interpretation, seismic horizon mapping, and petrophysical analysis, grounded in hands-on fieldwork.

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Signal Processing & Python

Building computational tools in Python to extract, process, and interpret signals from subsurface data.

About Me

Geophysicist & AI Engineer

Growing up in Nigeria, irregular power supply has always been the norm, and it has hindered productivity a great deal.

I'm a geophysicist, and I get into flow when I'm playing with signals and working with them to make sense of what they reveal. Geophysics gives me that opportunity, interpreting what lies kilometres beneath the surface.

Nigeria sits on untapped gas reservoirs large enough to transform its energy landscape, yet gas continues to be flared because capturing it isn't considered economically viable. That realisation is part of why I want to join hands with professionals to develop sustainable ways to tap into our resources while being responsible for the environment.

My core focus is subsurface geophysics: understanding what lies beneath the surface, and applying Python and machine learning to interpret it faster and with greater confidence.

Degree B.Sc (Hons) Geophysics
Location location_on Lagos, Nigeria
Skills & Knowledge

Technical Capabilities

Python Machine Learning Signal Processing Seismic Interpretation Well Log Analysis Petrophysics Pandas Petrel
Work

Featured Projects

Python Petrophysics

9-Well Field Reservoir Study

Full petrophysical analysis using Python scripts to derive porosity and fluid saturation across multiple wells for economic field valuation.

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Machine Learning Signal Analysis

Seismic Signal Analysis with Machine Learning

Applying machine learning to open seismic datasets for fault detection and facies classification.

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Background

Education & Experience

work Experience

Data Analyst | DEER Nigeria

2025 – Present · Lagos, Nigeria
  • Designing and tracking KPIs for business growth
  • Translating complex datasets into strategic insight for technical and non-technical stakeholders
  • Building data culture

Geophysics Intern | Oando PLC

2024 · Nigeria
  • Used Python for petrophysical analysis across 9 wells in a field
  • Well correlation using Petrel software
  • Applied fault interpretation and seismic horizon mapping
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school Education

BSc. Geophysics | UNILAG

2017 – 2024 · 4.06 CGPA
  • Specialised in GIS, Geothermal Energy, and Quantitative Geophysics
  • Applied Python programming to geophysical analysis
  • Led research combining subsurface analysis with data science

Millennium Fellowship

2023 · Global Leadership Program
  • Selected for a leadership program by MCN and UNAI
  • Advanced Sustainable Development Goals through impact projects
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Research

Published Technical Papers

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Get in Touch

Let's work together

If you're working on subsurface signal analysis, machine learning research, or graduate research opportunities in geophysics and AI, I want to hear from you.

Open to research collaborations and graduate research opportunities.