Ramesh kumar

CEO

Bengaluru, Karnataka, India21 yrs experience
Highly StableAI Enabled

Key Highlights

  • Over 20 years of experience in AI and digital transformation.
  • Led Tata Steel's $2B EBITDA transformation program.
  • Expert in building autonomous manufacturing enterprises.
Stackforce AI infers this person is a leader in AI-driven manufacturing and digital transformation across various industries.

Contact

Skills

Core Skills

Digital TransformationSmart ManufacturingBusiness GrowthAi-driven InnovationAi-led ManufacturingData Science ArchitectureClient EngagementAnalytics ConsultingAdvanced Analytical SolutionsHr AnalyticsPredictive ModelingWorkforce AnalyticsSupply Chain AnalyticsInventory ManagementSupply Chain ManagementProject CoordinationMetrics ManagementSupply Chain ConsultingCapacity PlanningProcess Improvement

Other Skills

Account ManagementAmazon EC2Analytical SkillsAnalyticsBudgetingBusiness AnalysisBusiness AnalyticsBusiness ProcessBusiness Process Re-engineeringChange ManagementCustomer AnalysisData MiningData ScienceForecastingGoogle Cloud Platform (GCP)

About

With over 20 years of experience in applied Artificial Intelligence, smart manufacturing, and digital supply chain transformation, Ramesh is a high calibre leader who turns complex operations into data-driven, AI-powered enterprises. He has built and led enterprise-scale digital and analytics organizations, delivering globally recognized use cases across the metals and mining, aviation and heavy industry, acknowledged by the World Economic Forum, ORSI, IMC, and IEEE. He was a key leader in Tata Steel’s $2B EBITDA transformation program, driving more than $50M in direct business impact through AI, advanced analytics, and automation across the full value chain from raw materials to finished goods and customer delivery. As a digital architect and transformation operator, Ramesh designs and executes enterprise digital strategies spanning IT/OT convergence, cloud platforms, AI governance, digital twins, and smart factory systems. He is deeply focused on building the next generation of autonomous, self-optimizing, and sustainable manufacturing enterprises. With a strong command of digital strategy, business execution, and organizational change, he leads transformations that are scalable, secure, and ROI-driven, tightly aligned with long-term enterprise value creation.

Experience

Pwc

Director

May 2024Present · 1 yr 10 mos · India

  • Advisory services for industrial AI, Smart plant, Digital transformation.
Analytical SkillsResearch SkillsSmart ManufacturingNegotiationDigital Transformation

Eugenie.ai

2 roles

Vice President

Feb 2023May 2024 · 1 yr 3 mos

  • Responsible for business growth , product innovation and client engagement
Digital TransformationAnalytical SkillsResearch SkillsSmart ManufacturingNegotiationBusiness Growth

Director

Nov 2021May 2024 · 2 yrs 6 mos

  • Driving industrial product innovation through AI. Driving industrial ESG through AI driven control over emission through the process value chain of industries.
  • Developing and implementing appropriate and often new business models for digital transformation opportunities with customers in all process industries verticals ( steel, mining, oil and gas and cement etc.)
  • Driving enterprise scale digitalisation business opportunities with a strong game plan for the integrated digital systems and solutions, drive adoption of consultative.
  • Acting as a high-level technical expert for the digital portfolio across Process Industries
  • verticals, providing knowledge and analysis of specialised software applications and operational environments, functional systems analysis, design, integration and implementing advice for complex digital solution implementation.
  • Interfacing with and influences customer's sénior technical and business leadership and continuously driving business development efforts by pursuing new opportunities and extensions with sales teams
Digital TransformationAccount ManagementChange ManagementAnalytical SkillsProcess OptimizationSupply Chain Optimization+16

Tata steel

Head Of Data Science & Center of Excellence

Jul 2018Nov 2021 · 3 yrs 4 mos

  • Responsible for driving AI led manufacturing across the business functions and setting up ACOE at Tata Steel with a strong team of data scientist and consultant driving Analytics based business transformation.
  • delivered multiple solution to achieve Lighthouse status for two steel plants under Tata steel india.
  • Develop and design of complex analytics solutions with scalable deployment for integrated Steel manufacturing Plant including IOT based predictive Maintenance solutions solutions , Digital Twin and autonomous process control Model.
  • Designed and developed highly scalable closed loop IIOT Analytics Platform for Predictive Maintenance across Tata Steel for major critical equipment.
  • Manage multiple stake holders ( IT Infra, Operations, R&D, and Management) with competing business priorities for multiple projects running simultaneously across the business function.
  • Drive a transformation and adoption culture for analytics driven decision making across the business function with target potential business value impact through $2 Billion digital transformation Program at TSL.
  • Cloud Migration of of AI development environment with project migration through agile project management.
Digital TransformationSix SigmaAccount ManagementChange ManagementAnalytical SkillsProcess Optimization+20

Infosys

Senior Technology Architect

Jan 2018Jun 2018 · 5 mos · Bengaluru, Karnataka, India · On-site

  • Data science solution architecture development and customisation for the global client.
Account ManagementAnalytical SkillsAnalyticsStatistical ModelingResearch SkillsBusiness Process Re-engineering+5

Larsen & toubro infotech ltd.

Data Scientist

Aug 2015Jan 2018 · 2 yrs 5 mos · Bangalore

  • Developing a Strong Consulting framework /Tool kit in business Analytics.
  • Responsible for advanced analytical solutions Portfolio for Auto, Manufacturing, Oil and Gas, Global Retail Chain sector.
  • Analytics Consulting for IOT (Internet of Things) / sensor devices and built recommendation system.
  • Risk modeling for Global company Asset using TVC modeling
  • Client Coordination / New engagement on regular basis on Project deliverable and new engagements.
  • Lead a Team of Analyst for techno-functional role in Advance Analytic.
  • Developed Customer Analytics solutions portfolio for Retail Industry.
  • Grooming a team of analyst across the function on Analytics Product development.
  • Solution Architecture on NLP (Natural Language Processing), Text Mining for Warranty Claim Analytics
  • Solution Architecture for P2P( Procure to Pay) over payment detection analytics
  • NLP on Customer chat transcript using R studio server and Amazon Machine learning platform
  • Application of machine Learning (supervised /unsupervised) Techniques on various recommendation system with optimum accuracy.
  • Business Analytics strategy thought leadership.
Change ManagementAnalytical SkillsAmazon EC2Predictive ModelingAnalyticsStatistical Modeling+9

Launchship technology solutions pvt. ltd. (dcr workforce - clientele)

Manager analytics

Jan 2012Aug 2015 · 3 yrs 7 mos · Hyderabad Area, India

  • HR Analytics, People Workforce Analytics, AI Based solution for US Hire, Predictive Modelling,Econometrics, Business Intelligence, Google Big Data, Google Big Query & Prediction API, Machine Learning, Text Mining.
Account ManagementAnalytical SkillsPredictive ModelingBusiness ProcessAnalyticsStatistical Modeling+7

Dcr workforce

Manager (Workforce analytics)

Jan 2012Aug 2015 · 3 yrs 7 mos · Boca Raton , Florida

  • Workforce Analytics, Editor for Workforce analytics Mazagine (Trendline), HR Analytics, Predictive Modelling,Econometrics, Buiness Intelligence, Google Big Data, Google Big Query & Prediction API, Machine Learning, Text Mining, R Studio (packages-forecast, car, tm, TTR, lattice, shiny, RATTLE), Shiny forecasting Applications
Account ManagementAnalytical SkillsPredictive ModelingAnalyticsForecastingProject Delivery+5

Hewlett-packard

Manager (GBS Analytics)

Apr 2011Jan 2012 · 9 mos · Bangalore

  • Responsible for HP Ink Jet Business- North and South America supply chain inventory.
  • Projecting inventory level based on COS (Cost of sales) towards end of the quarter.
  • Presenting the different source of inventory through multi-channel inventory incoming and outgoing from America's region.
  • Coordinating with channel partner in the supply chain.
Analytical SkillsProcess OptimizationSupply Chain OptimizationPredictive ModelingBusiness ProcessAnalytics+11

Caterpillar inc.

Senior Analyst

May 2010Apr 2011 · 11 mos

  • Responsible for maintaining the metrics on Aggregate service level, Planner service Level, Delinquency of orders, On hand Inventory, SSL and on hand comparison and presenting the same with the customers on weekly basis.
  • Coordinate with all external business partner of caterpillar on weekly basis and review the different supply chain parameter and action plan.
  • Ensure issues and risks are timely escalated; set-up adequate change management process to ensure the project scope is contained and managed properly.
  • Project coordinator for Caterpillar entity and caterpillar supply chain division.
Analytical SkillsProcess OptimizationSupply Chain OptimizationAnalyticsStatistical ModelingBusiness Process Re-engineering+7

Genpact llc

Supply Chain consultant (Analytics Centre of Excellence)

Aug 2007May 2010 · 2 yrs 9 mos · Bangalore

  • Supply Chain Consultant at Genpact Analytics Center of Excellence.
  • Specialization in Inventory Planning, Network Optimization, Operation Research, Capacity Planning, Mathematical modeling, Six Sigma, Lean.
  • Inventory Management
  • Setting up the safety Stock for the spares and assembly of aviation Engine parts using the business logic and implementing the same into customer application service.
  • Manage analytic / Inventory reduction projects of customer, provide methodology guidance based on business requirements and through six sigma, lean automation on deliverables.
  • Act as a subject matter expert for sourcing and sales teams regarding issues of quantitative customer information and the data required to create it. Coordinate requirements with Enterprise Data Warehouse IT as well as different business units.
  • inventory Optimization
  • Inventory classification, implementing Strategic inventory management policy.
  • Safety stock and service level optimization.
  • New product initiatives (NPI)
  • Idea initiator and project leader for Capacity planning Tool based on multiple criterion on revenue and Volume of production.
Analytical SkillsProcess OptimizationSupply Chain OptimizationAnalyticsStatistical ModelingBusiness Process Re-engineering+7

Kirloskar electric co. ltd.

Senior Industrial Engineer

Jan 2006Aug 2007 · 1 yr 7 mos

  • Designed and developed Capacity planning framework for Kirloskar Electric Company Limited.
  • Duration: 1 Year
  • Role: Senior Industrial Engineer (Project Lead)
  • Process Planning & Initiatives
  • Kaizen exercises for capacity enhancement and process improvement.
  • Designing and implementing the optimized production plan based on the optimum product mix Implemented a new shop floor layout based on the incoming material and process flow.
  • Vendor capacity assessment
  • Identifying the gap between required capacity and Available in house capacity, and recommend on the need of extra vendor capacity to me meet customer demand
  • Incentive Plan
  • Formulating the criterion of incentive based on the productivity target
Six SigmaAnalytical SkillsSupply Chain OptimizationBusiness ProcessAnalyticsStatistical Modeling+7

Tata steel (tata ryerson limited)

Thesis Project Intern

Mar 2004Jan 2005 · 10 mos · Jamshedpur, Jharkhand, India

  • Project:1Optimization of the productivity.
  • (Standard time is set for all machines, and optimum level of productivity is set.)
  • Project: 2 Routing for Plant Location
  • supply Network optimization is done for one of the plant of Tata Group at Jamshedpur (one of the largest steel manufacturer in India), India
  • (Transportation model of Operation Research was used to analyze the best route.)
Analytical SkillsSupply Chain OptimizationBusiness ProcessAnalyticsStatistical ModelingBusiness Process Re-engineering+6

Education

Indian Institute of Technology, Kharagpur

Master of Technology - MTech — Engineering/Industrial Management

Jul 2003Jun 2005

National Institute of Technology Durgapur

B.E — Metallurgical Engineering

Jan 1999Jan 2003

Sainik School

+2 — Science

Jan 1990Jan 1997

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