Python
To obtain a challenging position as a Business Analyst to apply technical knowledge in Oil and Energy Industry in identifying the requirements, scope, risks, costs, benefits, and feasibility of systems, thus working as a bridge between the technical and business teams to meet the needs and expectations of the customers and organizations.
• Managed multi-product oil pipeline operations in coordination with downstream locations from Bina - Kota- Piyala Pipeline and monitoring the same with SCADA (Supervisory Control and Data Acquisition), LDS (Leak Detection System), PLC (Programmable Logic Controller) and PIDS (Pipeline Intrusion Detection System).
• Conducted electricity usage analysis for the location to optimize operations, contributing to business development by delivering analytical insights.
• Designated Quality Control Coordinator ensuring refined and oil product Quality within 20% deviation over the years and adhering to IQCM and AQCAM guidelines (Industry Quality Control Guidelines).
• Coordinated with stakeholders to meet the product requirement to the end location.
• Performed pre-interface analysis and interface operations within 4%.
• Analysed tank behaviour, slop blending and interface analysis through data visualization using Tableau and Python, achieving a minimal product loss/gain within a 0.015% margin.
• Played an active role in the Bina-Panki Pipeline project, overseeing commissioning and related activities, and effectively managed its operations to successful outcomes.
• Maintained Corrosion Inhibitor (CI) dosing rates within the prescribed limit of +/- 5% and administered Anti-Static Additive (ASA) dosing in pipelines to enhance their life expectancy.
• Identified potential risks and opportunities affecting the business, devising strategic plans to manage and capitalize on them accordingly.
• Successfully coordinated for OISD, PNGRB, ISA audits. and ensured 100 % compliance
• Capitalized 150 Lakh for Commissioning of Product Analysers and logic integration for measuring physical properties to meet the specific product requirement.
• Prepared cost estimates for process license selection for PRFCC, PP and SRU units with 10% accuracy.
• Evaluated performance metrics and key performance indicators (KPIs) to assess progress and effectiveness.
• Evaluated technical and commercial bids.
• Actively played a role in the feasibility report of the proposed desalination plant at Rasayani.
• Actively played a role in the commissioning of the HSVR project.
• Associated with the proposed Rasayani Petrochemical Complex project.
• Worked closely with research and consulting teams to derive insights from model results, enhancing decision-making processes
Business and Data Analysis
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Machine Learning
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