Data Scientist | Well Intervention & Completions Engineer | MSc Data Science | Industrial AI & RAG Systems
I combine 17+ years of operational experience in oil and gas with modern data science, machine learning, AI, and industrial analytics platforms to build practical decision-support systems for complex engineering environments.
My work focuses on transforming operational data, engineering reports, and technical knowledge into searchable, explainable, and actionable intelligence.
- 🎓 MSc Data Science
- 🛢️ 17+ years in Completions, Well Intervention, Sand Control, Hydraulic Fracturing, and Production Enhancement
- 🌍 International experience across multiple countries, operators, and operating environments
- 🤖 Building AI-powered operational intelligence systems for engineering workflows
- 📊 Experienced in machine learning, statistical analysis, RAG systems, and engineering analytics
AI-powered operational intelligence platform that transforms Daily Drilling Reports into structured engineering knowledge.
- Semantic search across drilling campaigns
- Well similarity analysis
- Operational sequence mining
- NPT identification and precursor analysis
- Lessons learned extraction
- Campaign planning support
- Traceable evidence-backed recommendations
MSc Thesis — EvidenceRAG-Evaluation
Evaluating Hybrid Retrieval for Grounded Question Answering over Long-Form Reports.
- BM25 retrieval
- Dense retrieval
- Reciprocal Rank Fusion
- FAISS vector search
- Retrieval evaluation
- Hallucination reduction
- Grounded AI systems
Platform that converts completion and hydraulic fracturing spreadsheets into searchable operational intelligence.
- Automated data ingestion
- NLP-based engineering comment analysis
- Delay and failure analysis
- Fleet performance benchmarking
- Lessons learned extraction
- Natural language querying
| Project | Description | Access |
|---|---|---|
| EvidenceRAG-Evaluation | Hybrid dense + BM25 retrieval-augmented generation pipeline with a reproducible evaluation harness, built on PDF annual reports (MSc thesis project) | Public |
| Frac_Campaign_Planning | Monte Carlo simulator for multi-pad hydraulic fracturing campaign planning, scheduling, risk, and scenario optimisation | Public |
| GP_Screens_Analysis | Computer vision pipeline for detecting, classifying, and quantifying failure modes on failed gravel pack screens | Public |
| DDR Intelligence Platform | AI-powered drilling report analytics, sequence mining, operational intelligence, and risk detection | Private — available on request |
| Completion Campaign Intelligence | NLP-driven intelligence platform for completion and stimulation campaigns | Private — available on request |
| CCS Well Integrity Intelligence | Data-informed risk assessment and intervention planning for CCS wells | Private — available on request |
- Well Intervention
- Completions Engineering
- Sand Control
- Hydraulic Fracturing
- Artificial Lift
- Workovers
- Well Integrity
- Decommissioning
- CCS Wells
- Machine Learning
- Statistical Analysis
- Predictive Modelling
- Time Series Analysis
- Retrieval-Augmented Generation
- Hybrid Search Systems
- Knowledge Extraction
- Information Retrieval
- Operational Analytics
- 💼 LinkedIn: https://www.linkedin.com/in/djimra-stephane-soulanoudjingar-3078a055
- 📧 stephane.djimra@gmail.com
- 🌍 Scotland, United Kingdom
Combining engineering expertise, data science, and AI to transform operational data into decision intelligence.