🌍 Geoscientist,AI & ML Enthusiast,MIT Emerging Talent Program Participant🌟
Exploring the intersection of geosciences, machine learning,
and sustainable energy.
I am a geologist with over 5 years of experience in mining and
the oil & gas industries. My expertise includes:
- Geological Mapping
- Core Logging and Reserve Estimation
- Data Analysis and QA/QC
Currently, I’m focusing on enhancing my coding skills to integrate AI and ML into geosciences. I believe these technologies can transform resource exploration, optimize carbon capture and storage (CCS), and drive innovation in the energy sector.
- Geoscience Expertise:
- Exploration, reserve estimation, and geological mapping
- Sample preparation and lab analysis (Biostratigraphy, petrography)
- Technical Tools:
- GIS software
- Interactive Petrophysics
- Data management for geological datasets
- Emerging Interests:
- Python programming
- Machine learning applications in geoscience
- Geology Meets AI: Exploring machine learning models for mineral prospectivity mapping.
- Biostratigraphy Research: Working on a publication about palynofacies and Paleo-Climate in Sudan's Red Sea Sequence.
- Learning Python: Developing coding skills for geological data analysis.
-
🌱 Actively learning AI and ML techniques for geosciences through the MIT Emerging Talent Program.
-
📝 Published research in geology, focusing on resource evaluationand climate studies.
-
👩🏫 Facilitated training sessions for geology students, bridging academic knowledge with industry practices.
- Geology Data Analysis Data visualization projects forgeological datasets using Python and GIS.
- Mineral Prospectivity Mapping Applying machine learning techniques to map mineral resources.
- Research Code Repository Sharing data and code related to palynofacies and Paleo-Climate studies.
“Transforming geology with the power of technology and collaboration!” 🌍