Jul 2025 – Dec 2025 · 5 mos · On-site

• 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: 𝐂𝐨𝐧𝐬𝐭𝐫𝐚𝐢𝐧𝐭 𝐌𝐨𝐝𝐞𝐥𝐥𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 (𝐂𝐌𝐏)
• Role: Technical Lead | Tech Stack: Azure Cloud, Azure Data Factory, Power BI, SQL Server
• Led the design and implementation of the Constraint Modelling Program (CMP) — a digital solution developed to modernize legacy facility monitoring systems and enable data-driven capacity planning across Oil & Gas operations.
• CMP streamlines data from multiple sources into a centralized Azure Cloud environment, allowing production teams to visualize, monitor, and optimize capacity utilization in real-time.
• Key Contributions:
• Transformed a manual, siloed capacity management process into a cloud-based intelligent system.
• Developed an integrated architecture leveraging APIs, Azure Data Factory, and Azure SQL Database for automated data ingestion and aggregation.
• Built Power BI dashboards to provide interactive capacity visibility and proactive bottleneck identification.
• Improved strategic decision-making and capacity planning accuracy by 25%, enabling faster operational insights.
• Collaborated with production, engineering, and planning teams to align technology with business needs and scalability goals.
• 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 : 𝐑𝐚𝐦𝐚𝐧 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐚𝐥𝐢𝐛𝐫𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥
• Develop a monitoring tool to flag calibration deviations and remove spectral outliers for model retaining and accurate blend predictions
• 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 : 𝐈𝐏𝐒𝐎𝐌𝐚𝐱 –𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧
• As Technical Lead, I led the development of IPSOMax, a system-wide visualization tool that integrates gas, oil, water, and power networks to provide a clear view of production capacities and constraints.
• IPSOMax is designed for Production Supervisors, Production Engineers, and Facilities Engineers, enabling them to:
• Identify and resolve bottlenecks across facilities and networks.
• Optimize production flows and maximize capacity utilization.

Jul 2024 – Jun 2025 · 11 mos · On-site

• 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: 𝐃𝐞𝐦𝐚𝐧𝐝 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠
• Create forecasting & predictive models and reporting systems for key metrics through behavioral and financial dashboards.
• Led the development of key features, improving workflow efficiency and reducing operational bottlenecks.
• Collaborated cross-functionally with teams to gather requirements, and ensuring the dashboard met the specific needs of various stakeholders.
• Engaging in frequent consultative interactions with C-suite executives to understand their holistic viewpoint and gather business requirements. Managing the end-to-end Request for Proposal (RFP) lifecycle and identifying new growth opportunities.

Jul 2023 – Jun 2024 · 11 mos · On-site

• 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: 𝐌𝐨𝐧𝐭𝐡𝐥𝐲 𝐏𝐫𝐢𝐜𝐞 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠 𝐟𝐨𝐫 𝐏𝐞𝐭𝐫𝐨𝐜𝐡𝐞𝐦𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐮𝐬𝐢𝐧𝐠 𝐀𝐑𝐈𝐌𝐀𝐗
• Problem:
• Accurate monthly price forecasting is essential for procurement, pricing, and investment decisions in the petrochemical industry. However, in volatile markets—such as East China—prices are influenced by multiple economic, supply chain, and financial variables, making traditional forecasting methods unreliable.
• Impact:
• Developed an ARIMAX time series model to forecast monthly prices of four key petrochemical products.
• Incorporated both historical price data and external influencing variables for higher accuracy.
• Achieved improved forecast reliability by minimizing Mean Absolute Percentage Error (MAPE), enabling data-driven procurement and pricing decisions.

Sep 2022 – Aug 2023 · 11 mos · On-site

• 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: 𝐀𝐈-𝐃𝐫𝐢𝐯𝐞𝐧 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐟𝐨𝐫 𝐎𝐥𝐞𝐟𝐢𝐧𝐬 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧
• Problem:
• Petrochemical Industry Olefins business team relied on an affiliate-level feedstock optimization model and Power BI dashboards, which tracked KPIs but lacked real-time allocation recommendations. This limited the ability to adjust production and allocations dynamically, impacting profitability.
• Impact:
• Delivered an integrated AI platform aligning production with the monthly agreed plan.
• Enabled real-time, AI-optimized olefin allocation to plants, maximizing profitability even during plan deviations.
• Improved asset-level performance tracking, empowering faster, data-driven decisions.
• Tech Stack:
• Python | SQL Server | Optimization Models | Multi-Linear Programming

Oct 2020 – Jul 2022 · 1 yr 9 mos · North Guwahati, Assam, India

• 🔹 PROJECTS
• ➡️ 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐚𝐩𝐞𝐫 1: Experimental estimation and numerical validation of cohesive zone parameters in hydroxyl functionalized MWCNTs‐reinforced CFRP under pure mode II loading
• ➡️ 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐚𝐩𝐞𝐫 2 : Probabilistic failure prediction in a double composite cantilever beam with single and double source uncertainty
• ➡️ 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐚𝐩𝐞𝐫 3 : Cohesive zone parameters to predict mixed-mode delamination in CFRP reinforced with hydroxyl functionalized MWCNTs: Experimental and numerical investigations
• ➡️ 𝐁𝐨𝐨𝐤 𝐜𝐡𝐚𝐩𝐭𝐞𝐫: Fractographic Analysis of Friction Stir Welded Aluminium Alloy
• ➡️ 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐩𝐚𝐩𝐞𝐫 : The Effect of Hydroxyl Functionalized MWCNTs on the Interlaminar Fracture Toughness of Basalt Fiber-Reinforced Epoxy Composite
• ➡️ 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐚𝐩𝐞𝐫 4: Enhancing the Mode I Interlaminar Fracture Toughness of Carbon Fiber-Reinforced Composite with Hydroxyl Functionalized MWCNTS; Numerical and Experimental Study

Jul 2016 – Aug 2018 · 2 yrs 1 mo · New Delhi, Delhi

• During this period, I dedicated my time to preparing for the UPSC IES and GATE exams, focusing on enhancing my analytical and technical skills.

Feb 2014 – Mar 2014 · 1 mo · Bokaro, Jharkhand, India