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Werkervaring
- Celeron DigitalAI and Machine LearningDIGITAAL BUREAU & IT-CONSULTANCYapril 2026 - Vandaag (3 maanden)• • Engineered a "Human-in-the-Loop" ETL platform with dynamic SQLite/PostgreSQL schema generation, multi-role RBAC, and a centralized QC dashboard; integrated real-time analytics to monitor data lineage and model accuracy across the entire pipeline.• • Architected a modular AI-orchestration engine within the ETL platform using Antigravity and Cursor to toggle between Python, cloud APIs(Claude 3 Opus, Gemini Pro), and fine-tuned local/Hugging Face models; enabled flexible, privacy-focused extraction modes for complex technical datasets.
- Viridien GroupData Scientist (Geoscience & Petroleum SME)augustus 2022 - september 2025 (3 jaren en 1 maand)United Kingdom• • Led an agile curation project through all phases while executing technical workflows (extraction through validation) and delivered over 1.2M technically labelled documents and 273K+ high-quality data rows for software modelling and dashboards.• • Built and optimised KNN and Random Forest classifiers for document-to-page classification, boosting model accuracy from 76% to 92%through active learning, cross validation, and hyperparameter tuning.• • Developed a QC tool to automate data QA cutting stakeholder validation time by 40%, improving SLA by 2 weeks (presented at EAGE2025).• • Automated exploratory data analysis (EDA) using Python, SQL, and Excel (Power Query) that improved the ETL (extract-transform-load) workflow by reducing data preprocessing time by 27%.• • Delivered projects focusing on enhancing data governance – including taxonomy, lineage, data models, integrity, and use cases - whichimproved reporting accuracy and increased commercial stakeholder trust.• • Contributed to AI research initiatives as part of a cross-functional team, utilizing LLMs to automate metadata extraction.• • Led inhouse training sessions on data labelling, improving machine learning models accuracy and streamlining team knowledge transfer.
- TechPet Global ServicesPetrotechnical Analystmaart 2021 - augustus 2022 (1 jaar en 5 maanden)• • Applied geostatistical correlations to integrate subsurface datasets, improving interpretability of visuals and enabling stakeholders to draw actionable insights more quickly.• • Generated analytical reports and Power BI dashboards highlighting critical metrics (e.g., oil rate, reserves) on reservoir performance.• • Created dynamic reservoir and predictive production models to accurately forecast reserves and production rates.• • Drove strategic stakeholder alignment on critical milestones (e.g., data validation) and status update on reserve and production estimation.
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Opleidingen
- MSc Petroleum EngineeringImperial College London2020
- BSc Petroleum & Gas EngineeringBalochistan University of Information Tech Engineering and Management Sciences - BUITEMS2018