I am Registered Professional Engineer (P.E.) focused on renewable energy and a practicing Statistician focused on Artificial Intelligence (A.I.) In renewable energy applications, I believe that the most cost effective approach to decarbonize is to to maximizing energy efficiency and system reliability. As a practicing Statistician, I specialize in helping clients automate business processes and manufacturing processes, by gaining new insights from data generated within their company. As IBM Canada Software Business Partner in Prescriptive Data Analytics, my focus is to leverage data analytics including Artificial Intelligence (AI) and Machine Learning (ML) in industry sectors of chemical processing plants, pipeline systems, bio-energy facilities in sawmills and pulp and paper sectors, municipal utilities, smart cities, micro-grids, onsite waste water systems, solar PV and wind based battery storage (BESS), renewable natural gas, green hydrogen and geo-exchange. I specialize in Net Zero Carbon Emission systems. In addition, I assist clients in quantifying lower carbon footprint energy generation programs. In addition to engineering design and planning, I assist my clients by implementing the latest tools in predictive data analytics and prescriptive data analytics. I can demonstrate to clients new high-margin business opportunities that can be based on their existing enterprise (public or privately owned) generated data. I believe that success in renewable energy is all about Big Data--- just like running a airline profitably is more about passenger booking software than about the aircraft fleet. Data analytics can be profitably used by every business owner, operations manager and municipal services administrator. I am enthusiastic about getting companies and businesses to begin their journey into new profitable opportunities via using Big Data. I believe every industry sector and publicly owned enterprises can create profitable opportunities from using Big Data by implementing the latest data analytics techniques. I and my associates at Renewgen Systems provide the software, management advice and engineering expertise to get you the next level in using Big Data in your daily business operations. Renewable energy opportunities are available in every industry sector. For example, using data modelling of battery storage can immediately affect, very positively, the enterprise bottom line. But they can be leveraged very profitably, particularly in transforming fossil fuel usage in the energy sector, transportation sector and telecommunications sectors.
Datomatik A.I. Dataentry Systems Inc.
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President And Chief StatisticianDatomatik A.I. Dataentry Systems Inc.Vanderhoof, Bc, Ca
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Chief EngineerRenewgen Systems Inc. Aug 2002 - PresentVanderhoof, British Columbia, Canada
Schams (Sam) Ahad Skills
Schams (Sam) Ahad Education Details
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Chemical Engineering
Frequently Asked Questions about Schams (Sam) Ahad
What company does Schams (Sam) Ahad work for?
Schams (Sam) Ahad works for Datomatik A.i. Dataentry Systems Inc.
What is Schams (Sam) Ahad's role at the current company?
Schams (Sam) Ahad's current role is President and Chief Statistician.
What schools did Schams (Sam) Ahad attend?
Schams (Sam) Ahad attended Faculty Of Engineering - Mcmaster University.
What skills is Schams (Sam) Ahad known for?
Schams (Sam) Ahad has skills like Engineering, Energy, Project Management, Business Strategy, Management, Strategic Planning, Project Engineering, Business Development, Contract Management, Electrical Engineering, Energy Efficiency, Negotiation.
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