Saad Haris

I am Saad Haris, a Professional Engineer (P.Eng.) holding a Master of Management Analytics (MMA), with over 10 years of expertise in business intelligence, data analytics, and engineering, primarily within the utilities and energy sectors. I demonstrate progressive leadership in BI strategy development, team management, and data-driven optimizations. 

Since 2023, as Senior Business Intelligence Consultant at Inferifi LLC, I have led enterprise data migrations to Azure Data Lake, optimized ETL pipelines with Microsoft Fabric and Azure tools, and implemented BI reporting framework for over 200 users. These efforts reduce reporting errors by 20% and enhance decision-making by 15% through Agile methodologies and team mentorship.

From 2022 to 2023, as Manager of Data Analytics & Insights at Liberty Utilities, as part of the AI and Analytics Center of Excellence. I developed analytics solutions for AMI/Smart Metering and MDM programs, achieving 80% service levels, and reduced reporting delivery times by 30% via predictive models and executive dashboards.

Between 2020 and 2022, as T&D Consultant at Tetra Tech Canada Inc., I provided engineering and analytical support for transmission and distribution projects across Ontario utilities. I conducted spatial data modeling for 360 km of 230 kV lines and renewable integrations, ensuring alignment with budgets and data-informed investments.

From 2018 to 2020, as the Manager of Energy Planning & Analytics at K Electric Ltd., I managed a team of over 20 professionals. I led 15-year demand forecasting and worked on $250 million infrastructure projects using Power BI and SQL, resulting in 6% energy sales growth, 10% load shedding reduction, and 12% year-over-year revenue increase.

Throughout my tenure, I consistently applied tools such as Power BI, Azure Synapse, Databricks, Python, R, and SQL to advance data informed decision making, Agile delivery, and measurable business outcomes in utilities analytics.

I obtained my most recent degree, a Master of Management Analytics (MMA), from the Smith School of Business at Queen’s University in Ontario, Canada, in 2022. This program focused on advanced analytics, data science, and management principles, equipping me with skills in data-driven decision-making, machine learning, and business intelligence applications.