Aayush Vohra

• Utilized data visualization and machine learning expertise to develop a cloud-based surveillance portal for a large-scale steam flood operation, monitoring over 4,000 wells and 100 steam generators.
• Integrated ML models (developed on PyTorch and Keras) to analyze operational data and pump dynacards, optimizing steam injection and reducing costs by 15%
• Led a team of 12 developers to integrate real-time data from various sources (OFM, AVEVA PI, Petrel) and build interactive dashboards to provide actionable insights for operational optimization.
• Collaborated with Reservoir Engineers, Geologists, Production and Process Engineers, and the Automation team to align technical solutions with business objectives, ensuring project success and delivering the first phase ahead of schedule, saving 20% in project costs.

Contact: Ryan Trotter (Staff Production Engineer) ryan_trotter@oxy.com

• Led the implementation of a cloud-based CTRM portal, utilizing data analytics and business process modeling to align with the needs of Front Office (Traders), Middle Office (Audit & Risk), and Back Office (Finance) and successfully integrated data from various sources to provide a unified platform for commodity trading and risk management.
• Developed a data integration solution for production accounting, leveraging SQL and Python to combine data from LP (Spiral), APC, Hysys, and Real-Time Data Historian. This solution enabled accurate mass balance calculations from crude purchase to product output, resulting in a 35% reduction in unaccounted crude and improved data accuracy for operational decision-making.
• Spearheaded the implementation of a fully automated, cloud-based CTRM portal, aligning with Front Office (Traders), Middle Office (Audit & Risk), and Back Office (Finance) requirements.
• Designed a cloud-based reporting platform leveraging machine learning (ML) algorithms to automate the generation of MVA, daily, and weekly price reports. Integrated data from over 18 sources to provide comprehensive and timely insights, resulting in a 23% increase in production efficiency and improved data-driven decision-making.
• Developed a unified production accounting tool for mass balance of crude purchased to products produced, integrating data from LP (Spiral), APC, Hysys, and Real-Time Data Historian, reducing unaccounted crude by 35%.
• Introduced chatbots integrated with ServiceNow using process automation tools (Automation Anywhere, Power Automate) for automatic request registration and migrated spreadsheet-based workflows to Power BI, enhancing data visibility and efficiency.
• Led the hiring and setup of an offshore development team to execute digital projects efficiently.
• Promoted to direct employment with Essar (from Tech Mahindra) in recognition of technical expertise and leadership.

Contact: Sadanand Singh (General Manager) sadanand.singh@eetfuels.com

• Developed and deployed real-time data monitoring solutions using AVEVA PI to track KPIs for BP's global oil assets, enabling proactive identification of potential issues and contributing to improved equipment reliability and availability.
• Created an Event Frames Dashboard using Python and integrated it with Power BI, enabling enhanced visualization and actionable insights for KPIs
• Led a team of 4 engineers following Agile methodology and using Azure DevOps for project management
• As a fresher, got extensive training on development fundamentals (C#, Python, MVC, RDBMS)

Contact: Srinivasa Vittalmurthy (Lead Consultant) srinivasa.v02@infosys.com