Akash Ashokan

About Akash Ashokan

I’ve worked through the Digital + Physical thread of the Design-to-Operate lifecycle in Asset-Intensive Process plants:PFD/HMB -> P & ID / Datasheets -> Construction/Commissioning -> DCS/PLC -> CMMS / PI (historian)-> AI/ML for ReliabilityMy experience spans the full plant lifecycle across• Specialty Chemicals• Petrochemicals• Oil & Gas -from Engineering and Commissioning to Asset Management and Industrial AI.I’m most energized by IT/OT challenges that demand both:Domain intuition: Process Dynamics, Equipment Performance, Control SystemsApplied analytics / AI: Maintenance Efficiency, Predictive Maintenance, Process OptimizationI help bridge Engineering Discipline and Data-Informed execution for both operating plants and new builds.If you’re working on Industrial AI, Digital Twins, or Plant Digital Transformation, I’m always up for a thoughtful conversation.

Experience

1. Senior Process Data Engineer

   Shell

   Jul 2022 — Present · Chennai, IN

   Generating valuable and actionable insights in Maintenance and Reliability space using AI/ML• Runner-up (2022) — Databricks Codefest (Databricks × Shell Innovation Labs: The Mill & The Foundry): built an end-to-end analytics pipeline in Databricks and MLFlow for fenceline mass-balance calculations across a chemical complex to identify unknown losses.• Winner (2024) — Shell.ai TAO-wide GenAI Hackathon.

Education

• International Institute of Information Technology Bangalore

  Post Graduate Diploma, Data Science

  2017 — 2018

• Liverpool John Moores University

  Master of Science - MS, Data Science

• Madras Institute of Technology

  Bachelor of Engineering (B.E.), Electronics and Instrumentation

  2012 — 2016

Skills

• Distributed Control System (Dcs)
• Programmable Logic Controller (Plc)
• Commissioning