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Ramesh Kumar

Director - Advisory | Applied AI | Smart Manufacturing | Data Science | Digital Transformation | Sustainability | IIOT | Enterprise Digital twin | Consulting | Strategy

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About

Ramesh Kumar is a visionary leader with over 15 years of experience in data science, solution architecture, and industrial AI. He has a proven track record of inspiring excellence, creating high-potential analytics teams, and driving large-scale industry 4.0 transformations across business verticals. He is a dynamic strategist with a clear understanding of strategic analytics and setting up practical but powerful strategies for the long-term success of the organization. Currently, Ramesh is the Director of eugenie, where he is driving industrial product innovation through AI. He is also leading a large-scale AI implementation in manufacturing across Tata Steel. Ramesh has extensive experience in supply chain, manufacturing, energy and power, and IoT-based end-to-end analytics solutions. His key projects have received recognition at ORSI, AIMA, IMC, World Economic Forum - Light House, and several other international forums for industrial analytics innovation. Prior to his current role, Ramesh was the Head of Data Science & Center of Excellence at Tata Steel, responsible for analytics life cycle management across business functions and setting up ACOE with a strong team of data scientists and consultants. He designed and developed highly scalable closed-loop IIOT analytics platforms for predictive maintenance across Tata Steel for major critical equipment. Ramesh was also responsible for driving a transformation and adoption culture for analytics-driven decision making across the business function with a target potential business value impact through a $2 billion digital transformation program at TSL. Ramesh has a Master of Technology in Industrial Engineering and Management from IIT Kharagpur and a Bachelor of Engineering in Metallurgical Engineering from NIT Durgapur. He also completed his +2 in Science from Sainik School Tilaiya. Ramesh's tech stack includes AI, data science, ML, research science, data engineering, Python, recommendation systems, infra, NLP, integration, deep learning, P2P, object detection, RNN, object detection, data warehousing, neural networks, web, and senior software engineering. With 17.29 years of relevant experience, Ramesh is a result-oriented leader with a passion for creating a culture of sustainable growth and technical capability in ever-changing domains.

Education Overview

iit kharagpur indian institute of technology kharagpur

nit durgapur national institute of technology durgapur

sainik school

Companies Overview

pwc

eugenie

tata steel

infosys

lt

launchship technology solutions pvt. ltd. dcr workforce clientele

dcr workforce

hewlett packard

caterpillar

genpact

Experience Overview

17.5 Years

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Contact Details

Email (Verified)

ramXXXXXXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX69

Education

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Frequently asked questions

What company does Ramesh Kumar work for?

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Ramesh Kumar works for pwc

What is Ramesh Kumar role in their workplace?

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Ramesh Kumar's role in their workplace is Director

What is Ramesh Kumar's tenure in their workplace?

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Ramesh Kumar's tenure in their workplace is 0.92 years

What is Ramesh Kumar's total experience?

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Ramesh Kumar's total experience is 17.50 years

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Ramesh Kumar's LinkedIn profile can be found here

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Ramesh Kumar's email address is ramXXXXXXXXXXXXXXXXXXXXXXom. Unlock here

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Ramesh Kumar's phone number is +91XXXXXXXX69. Unlock here

What schools did Ramesh Kumar attend?

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Ramesh Kumar has attended iit kharagpur indian institute of technology kharagpur, nit durgapur national institute of technology durgapur, sainik school

What companies has Ramesh Kumar worked with?

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Ramesh Kumar has worked with pwc, eugenie, tata steel, infosys, lt, launchship technology solutions pvt. ltd. dcr workforce clientele, dcr workforce, hewlett packard, caterpillar, genpact

What are some of Ramesh Kumar's skills?

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Ramesh Kumar has skills in Account Management, Amazon EC2, Analytics, analytics, architecture, Artificial Intelligence (AI) and more.

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