Oct 2025 – Present · 5 mos

• As I begin my journey with Shell’s Decision Science & AI team, I would be applying advanced analytics, operations research, and AI to support high-impact decision-making across Shell’s global businesses. My work would focus on optimizing capital allocation, enhancing supply chain and logistics efficiency, and enabling data-driven strategies in complex domains such as XTL, LNG, Trading & Supply, and low-carbon energy transitions. I would be collaborating cross-functionally to deliver robust, scalable solutions that align with Shell’s strategic priorities—maximizing value, improving sustainability, and driving operational excellence.

Feb 2025 – Oct 2025 · 8 mos

• Self-exploration, Up-skilling, Preparing for a Role that makes everyday better.

Mar 2023 – Jan 2025 · 1 yr 10 mos

• As a seasoned Senior Operations Research Scientist at Shell Plc, I lead the operations research scope within the central digitalisation team, specialising in industrial electrification. In this pivotal role:
• Strategy and Leadership: Spearhead strategic initiatives for industrial electrification, aligning efforts with organisational objectives. Lead cross-functional natural teams in developing and implementing operational optimisation strategies.
• Technology Integration: Drive the integration of cutting-edge technologies, such as techno-economic assessment, automation, and data analytics, into industrial electrification processes.
• Change Management: Manage change effectively by developing and executing change management strategies, fostering a culture of innovation and adaptability.
• Performance Monitoring and KPIs: Establish robust performance monitoring systems and KPIs for tracking the success and impact of electrification strategies.
• Collaboration and Cross-Functional Leadership: Foster collaboration among cross-functional teams, including engineering, IT, and operations, ensuring a holistic approach to electrification.
• This role combines my expertise in operations research with a strategic focus on digitalisation, contributing to Shell Plc's commitment to sustainability and operational excellence.

Dec 2022 – Mar 2023 · 3 mos

• "What's in the Name?"
• As a senior operations research scientist and technical lead for the demand control optimization workstream on a moonshot project, I lead a diverse natural team to optimize energy demand through innovative solutions. I apply my expertise in mathematical modeling to design, implement and evaluate algorithms to meet project objectives. I mentor junior team members, manage risks, and collaborate with stakeholders to ensure successful project delivery. My role is critical in pushing the boundaries of innovation and technology to achieve our goals.

Dec 2021 – Dec 2022 · 1 yr

• As a part of the Decision Science team, this role provides an opportunity to use advanced mathematical and analytical methods to solve business problems. Currently exploring decarbonization of Shell assets using Electrification.

Aug 2021 – Dec 2021 · 4 mos

• Supporting Shell Assets in Carbon abatement using electrification

Apr 2021 – Dec 2022 · 1 yr 8 mos

• Lead electrification road map study for Shell Assets' Net Zero Goal.

Nov 2020 – Aug 2021 · 9 mos

• Lead Data Scientist Supporting Digital transformation of two of the most important Shell sites in Singapore, building advanced analytics models to support quality operations and business.

Nov 2018 – Nov 2020 · 2 yrs

• Solving plant control system issues by reconciling sensor data using different methods. Building data science, monitoring, modeling and optimization tools for day-to-day for Shell's operating assets & projects.
• Focusing on how to combine data and insights from our operating assets and projects, and optimization methods to support most profitable decision making.

May 2018 – Oct 2018 · 5 mos

• Multivariate Statistical analysis to find out correlation between nature of trips and startups on deactivation of catalyst.

Apr 2017 – Apr 2018 · 1 yr

• Plant-wide data reconciliation, diagnostics & prognostics for Gas-to-Liquid Fischer-Tropsch catalytic reactors at SMDS.

Jan 2017 – Mar 2017 · 2 mos

• Part of Shell's long range research program focusing on transition to new and sustainable energy technologies. Test/develop Dualfoil code for simulating battery cycling & generate power density – energy density maps as function of cell architecture.

Aug 2016 – Dec 2016 · 4 mos

• Decline Curve analysis done on Baram Delta Fields, to forecast the production. DCA done for three different cases namely string level, group level and field level, defended the reliability on group level DCA rather than the other two extreme cases i.e. string lever and field level.