Open to opportunities

EUAN WALLACE

@euanwallace

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Dynamic Analytics and AI Engineer with a proven track record.

Canada

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities.

I am an Analytics and AI Engineer with a strong foundation in artificial intelligence and data analytics, honed through my education at the University of Edinburgh. My thesis focused on developing a containerized software solution for generating scalable traffic data for Intrusion Detection Systems (IDS) training, showcasing my ability to tackle complex problems with innovative solutions.

At Stint Ltd in London, I successfully built a scalable sales forecasting system for restaurants and quick-service restaurants (QSRs) using third-party APIs and PyTorch-based models. This project significantly reduced the Weighted Absolute Percentage Error (WAPE) and enhanced real-time decision-making capabilities. Additionally, I developed workforce auto-scheduling tools that improved employee satisfaction and ensured legal compliance, demonstrating my commitment to operational efficiency and collaboration across teams.

With expertise in Python, SQL, and AWS, I have automated data workflows and deployed machine learning models that align with business needs. I am passionate about leveraging data to drive insights and foster collaboration, and I am eager to contribute my skills to a forward-thinking organization.

Experience

Work history, roles, and key accomplishments

Analytics and AI Engineer

Stint Ltd

Jan 2024 - May 2025 (1 year 4 months)

Built a scalable sales forecasting system using third-party APIs and PyTorch-based models, significantly reducing WAPE and improving real-time decision-making. Developed scheduling solutions using constraint programming and genetic algorithms, reducing manual effort and improving employee satisfaction.

Python PyTorch AWS SQL Data Pipelines Machine Learning Genetic Algorithms

Education

Degrees, certifications, and relevant coursework

University of Edinburgh

Bachelors of Science (BSC HONS), Artificial Intelligence

Activities and societies: Thesis: Deterministic and Monitored Trafﬁc Generation for IDS Training (2022–2023)

Completed a Bachelor of Science with Honours in Artificial Intelligence. Thesis focused on deterministic and monitored traffic generation for IDS training, designing and testing a containerized software using Docker to generate scalable traffic data. Improved on CICIDS2017 by expanding benign and attack traffic variability, producing enhanced deterministic pcap datasets.