Summary
Mounira Djebri is a Solutions Engineer with eight years of experience turning data science and cloud technologies into measurable business value across marketing, retail, banking, and healthcare. With an AI and Data Analytics background from McGill and hands-on data engineering expertise in Databricks (Python, PySpark, SQL) across Azure, AWS and GCP, she bridges technical delivery and stakeholder strategy to eliminate silos and accelerate outcomes. Certified in AWS ML Specialty and GCP ML Engineer, she pairs model-centered thinking with pragmatic data architecture and visualization (PowerBI) to move proofs of concept into production. Her career spans consulting and research roles—bringing both academic rigor from graduate research at McGill and practical solution architecture experience at firms like Slalom and Accenture. Known for a belief that “AI should give us superpowers,” she blends curiosity-driven experimentation with disciplined engineering to deliver scalable, business-focused ML and analytics solutions.
7 years of coding experience
3 years of employment as a software developer
McGill University - Desautels Faculty of Management
Master's degree, Master's degree at Université des Sciences et de la Technologie 'Houari Boumediène'
French, Arabic, English