Summary
Daniel Pieper is a data and AI leader with eight years of hands-on analytics experience and a track record of building practices and products from the ground up across Canadian enterprise and SMB environments. As a co-founder who merged his consultancy into Quebec’s largest IT solutions provider and now serves as Director Data & AI, he combines strategic vision with practical delivery in data engineering, forecasting, IoT analytics and visualization—primarily on Azure with Python, R and SQL. His work has driven measurable business impact, from improving SKU-level forecast accuracy and saving 1,000 operational hours to unlocking new channel visibility through automated pipelines and dashboards. A McGill-trained analyst and former varsity athlete, he brings disciplined teamwork and competitive drive to complex cross-functional programs involving international stakeholders. Notably, he has repeatedly translated boutique analytics engagements into scalable practice offerings, signaling an uncommon blend of entrepreneurship and enterprise execution.
8 years of coding experience
4 years of employment as a software developer
Study Abroad Data Science, Study Abroad Data Science at iXperience
Masters of Management in Analytics - MMA, Masters of Management in Analytics - MMA at McGill University - Desautels Faculty of Management
French, English, Dutch, German