Summary
Nicholas Vachon is a data scientist and deep learning/NLP specialist with eight years of experience translating research-grade models into production-ready solutions across finance, media and consultancy. Currently the Deep Learning and NLP referent at Consort Group, he has a track record of building transformer-based classifiers, distributed training pipelines, and cloud-first data platforms (Databricks, Spark, AWS). His background spans academic research at Mila—where his master's thesis bridged dialogue systems and recommender engines—to applied work predicting returns from SEC filings and automating multilingual document validation. He pairs technical depth in PyTorch, Spark and MLOps with product and leadership experience from senior roles at Bell, making him adept at aligning models to business outcomes. An uncommon asset is his creative roots in theatre and acting, which inform his strengths in communication, storytelling with data, and designing user-facing AI features.
8 years of coding experience
15 years of employment as a software developer
Diploma of College Studies, Arts and Humanities, Language option, Diploma of College Studies, Arts and Humanities, Language option at Cégep du Vieux-Montréal
Baccalaureate, Art dramatique - JEU, Baccalaureate, Art dramatique - JEU at UQAM
Producer, TV & digital medias, Producer, TV & digital medias at INIS
Baccalaureate, Computer Science, With honors, Baccalaureate, Computer Science, With honors at Université de Montréal
Diploma of College Studies, Pure Sciences, Diploma of College Studies, Pure Sciences at Cégep Lionel-Groulx
Master's degree, Computer Science - Artificial Intelligence, GPA 4.15, Master's degree, Computer Science - Artificial Intelligence, GPA 4.15 at University of Montreal
French, English, Danish, Spanish