Salim Ladak is the 2013 founder of EQ How, which aligns your AI Machine Learning (technology) with your Change Management (people) initiatives. Salim is a dual expert in Change Management and AI Machine Learning. He brings over 20 years of Software Consulting and Leadership Development experience.
AI Machine Learning Skills:
Salim has implemented Reinforcement Learning, Deep Learning neural networks & numerous Machine Learning algorithms using Python & TensorFlow. He is currently pursuing a part-time Master of Science in Computer Science (MSCS) in Machine Learning from Georgia Tech, USA. Early in his career, he was a Java 2 Enterprise Edition (J2EE) Consultant and an SAP MM & WM Consultant. He received a Master of Business Administration (MBA), Science and Technology, from Queen’s University, Canada in 2003 and a Bachelor of Applied Science (BASc) in Industrial Engineering from the University of Toronto, Canada in 1995. His cross-industry experience encompasses IT, Mobile, Pharmaceutical, Consumer Products, Financial Services, Energy and Government.
Leadership Development Skills:
Salim’s Leadership Development experience ranges across Management Consulting, Public Speaking, Experiential Workshops, Leadership Coaching and Emotional Intelligence. In 2012, he became a Certified Practitioner of EQ Assessments from Multi-Health Systems (MHS) of Canada. In line with International Coach Federation (ICF) standards, he went on to obtain his Advanced Certified Personal and Executive Coach (ACPEC) in 2013 from the post-graduate College of Executive Coaching, USA.
Salim has been a Global Speaker at over 250 venues, lived in 6 countries and travelled through 40 countries. The recipient of 15 Public Speaking trophies & awards, he is a Toastmasters Division Champion & District Podium Winner and has earned the Advanced Communicator Bronze (ACB) credential. A Canadian citizen, he has also lived in the UK, Hong Kong, Tanzania and Dubai and is currently resident in Sydney, Australia. Feeling like a Global Citizen, Salim embraces the ethic of pluralism to value and understand human differences through mutual respect and civil inclusion.
Aligning your AI Machine Learning (technology) with your Change Management (people) initiatives.