Salman Dadabhoy

Salman Dadabhoy is a Lean Six Sigma Master Black Belt & Director, University Partners at e-Zsigma & Facilitator at Schulich- York University

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Salman Dadabhoy is a highly motivated, focused and results oriented Change leader who would like to passionately drive the culture of continuous improvement and help your organization improve efficiency, cost savings & ROI.

Consultant - Lean Six Sigma Master Black Belt at e-Zsigma & Facilitator at Schulich Executive Education Centre- York U at e-Zsigma (Canada) Inc.

2008 - Present

Canada's premier Lean Six Sigma consulting firm providing integrated business solutions since 2000. Recent Project Assignments - University of Saskatchewan - Pfizer Canada Inc. - Compower Systems Inc. - Arnprior & District Memorial Hospital - Schlegel Villages (Long-Term Care) - PCL Constructors Canada Inc. - Royal Victoria Hospital - St. Michael’s Hospital - Feroz Feeds Limited / Sylvana Garments Recent Lean Six Sigma Presentations * 2011 – Toronto Board of Trade ‘Advanced Business Fundamentals’ * 2011 – OCCAC Conference 2011 * 2011 – York University ‘Lean Six Sigma - How This Could Be Useful for CPMs’ * 2011 – IQPC 11th Lean Six Sigma for Pharmaceutical, Biotech, and Medical Device Excellence * 2010 – Utilization Managers’ Network of Ontario ‘Education Day’ * 2009 – Federated Press ‘4th Managing the Emergency Department Conference’

e-Zsigma (Canada) Inc.

2008 – 2012

Master Black Belt

York University - Schulich School of Business

2007 – 2008

Certification

Concentration: Lean Six Sigma Black Belt

University of Karachi

1994 – 1998

Master's degree

Concentration: Marketing

University of Karachi

1990 – 1994

Bachelor of Commerce (B.Com.)

Concentration: E-Commerce/Electronic Commerce

BVS Parsi High School

1986 – 1990

Diploma

Concentration: College/University Preparatory and Advanced High School/Secondary Diploma Program

Lean, Six Sigma, Kaizen, Continuous Improvement, Consulting, Training, Events, Speaker, Project Coaching, Operational Excellence, Process Improvement, Statistics, Value Stream Mapping, Quality