Bridging Petroleum Engineering with Predictive Analytics
Optimizing well performance and field operations through machine learning, advanced analytics, and domain expertise in drilling, completions, and production engineering.
Where Well Engineering Meets Data Science
Well Engineering Mastery
Deep technical expertise in drilling, completions, and well intervention operations. Specialized in downhole tool design, pressure control systems, sand control optimization, and API standards compliance.
Data Science & ML
Advanced capabilities in production forecasting, predictive maintenance, and well performance analytics. Expert in building end-to-end ML pipelines for oilfield optimization and real-time anomaly detection.
Work Experience
GULFTEK
- ▸Developed Python/Power BI dashboards to monitor tool/pump performance and failure trends, reducing manual reporting efforts by 60% and improving early anomaly detection by 5%
- ▸Led wellsite technical support during installation, FAT, pressure testing, and commissioning of 10+ downhole tools & flow-control equipment
- ▸Spearheaded technical oversight for major upstream customer (~SAR 10M), supporting drilling, completions, and well-intervention operations
- ▸Prepared & validated technical drawings, BOMs, and engineering design files for 10+ drilling & completions equipment for Saudi Aramco 9COM approvals
- ▸Developed automated reporting workflows in Power BI, enabling scheduled insights delivery to stakeholders
Completion Products Pvt. Ltd.
- ▸Delivered technical input to field engineers during equipment commissioning, reducing field rework by ~20%
- ▸Interpreted well schematics, casing programs, and completion designs to recommend appropriate downhole tools
- ▸Collaborated cross-functionally with Engineering & QA/QC to develop and launch 4 new completion products
- ▸Developed Power BI visualizations to monitor equipment deployment trends and customer demand forecasting
- ▸Analyzed sales forecasts and demand trends using Excel and Power BI, optimizing stock level efficiency by 10%
Halliburton
- ▸Supported senior field engineers in compiling EOWR packages, KPI-driven operational summaries, and quality documentation
- ▸Reviewed and analyzed premium thread connections (VAM, Tenaris, JFE) to ensure API 5B conformance, reducing thread-related problems by 10%
- ▸Worked on running, pulling, and shifting tools for SSD and packer operations
- ▸Completed technical trainings in Thread Inspection, HSE & Service Quality, and Field Tool Assembly
Oil and Natural Gas Corporation (ONGC)
- ▸Acquired practical exposure to Torque & Drag analysis, drilling hydraulics, and surge & swab dynamics
- ▸Studied well management from exploration to plug & abandonment, integrating drilling, geology, and production principles
- ▸Supported safe casing design, wellbore stability analysis, and running procedures in drilling operations
High-Impact Projects
Production Forecasting on Equinor's Volve Field
Developed an end-to-end production forecasting workflow using Python and pandas on Equinor's Volve field dataset. Successfully modeled trend analysis to evaluate critical design parameters, demonstrating AI-driven well performance prediction and reservoir management optimization.
Predictive Maintenance for Pumps & Valves
Built a machine learning model for oil & gas pumps and valves using real-time sensor data (temperature, pressure, vibration, flow rate). Achieved high prediction accuracy, enabling early fault detection and reducing unplanned downtime in plant operations.
Production Performance & Well Dashboard
Designed and developed an interactive Power BI dashboard to analyze well production using multi-source datasets. Conducted trend analysis, decline behavior evaluation, and anomaly identification to highlight underperforming wells and operational inefficiencies.
API 11D1 Design and Certification
Conducted in-depth study of API 11D1 design principles for packer development. Collaborated with engineering team to perform advanced calculations ensuring designs met packer envelope specifications. Assisted in documentation and audit preparation for successful API certification.
Offshore Completions - Sand Control Design
Designed and optimized gravel-pack and lower-completion configurations for offshore wells using CWOL principles, carrier-fluid leakoff evaluation, and screen selection to improve sand exclusion and inflow performance.
Factor-Based WOR Prediction Model
Developed machine learning model using time-series data to analyze reservoir performance. Incorporated oil, gas, and water production rates for accurate WOR & GOR prediction. Optimized model outputs to support freshwater consumption minimization strategies in unconventional reservoirs.
Technologies & Tools
Programming & Analytics
Data Science
Well Engineering
API Standards
Business Tools
Core Competencies
Certifications & Training
Continuous professional development across petroleum engineering, data analytics, machine learning, and business management.