Rajesh Sampathkumar

Head the consulting practice for a niche data analytics startup with an Asia-Pacific focus. Provide advisory to clients on data science, analytics, machine learning and related initiatives. Be responsible for hiring top analytics talent, mentoring and developing statistical and analytical competence including AI and ML competence in staff engineers and data scientists.

Quality Manager and Six Sigma Master Black Belt in charge of DMAIC and G8D problem solving on passenger vehicle product development teams. Involved in data analytics support for marketing, sales and service teams, and advisory to the management on organizational profitability. Responsible for training and coaching individuals to help them attain deep expertise in statistical problem solving, as a custodian of Ford Technical Education Program courses within the product development team.

Six Sigma engineering black belt, problem solving coach and project manager for continual improvement projects. Responsible for solving quality engineering and manufacturing engineering problems using Lean Six Sigma DMAIC methodology, and advanced statistical analysis and inference. Responsible for training and coaching individuals to help them attain deep expertise in statistical problem solving.

Assistant Manager at Larsen and Toubro Integrated Engineering Solutions, functioning as a project lead and manager for consultative engineering projects. Skilled at managing distributed teams in an onsite-offshore setting and in solving engineering problems in cost reduction, product design and development. Involved across industries such as automotive, aerospace and industrial products.

Production engineer in charge of tractor manufacturing at one of India's top tractor manufacturing conglomerates. Involved in ISO 9001/14001, cost reduction and cross functional problem solving activities.

A post graduate diploma program that builds deep skill in the areas of applied machine learning (supervised and unsupervised ML), and in artificial intelligence. The course starts from the theoretical fundamentals and proceeds to practical, hands on implementation of machine learning in Python.

An 8-course certificate program covering: Leading Innovation Strategy driven innovation Building Business Models Financing Innovation Empathize and Prototype: Design Thinking The Power of Stories to Fuel Innovation Negotiation Marketing Innovation

Mechnical engineering core subjects with electives such as automotive engineering, automatic control engineering, computer integrated manufacturing, finite element methods, industrial robotics and project management.