Experience
Senior Data Scientist with a Ph.D. in Biomedical Engineering and a graduate degree in Data Science. Experienced in building machine learning and AI-driven solutions that transform complex datasets into actionable insights. My work includes predictive modeling, NLP, and Generative AI applications, with strong expertise in data engineering, feature engineering, and large-scale analytics. I specialize in translating complex analytical results into clear insights and collaborating with cross-functional teams to drive data-informed decisions.
2025 - 2026
Data Scientist @ IQVIA
Working on AIM, a large-scale healthcare intelligence platform analyzing digital engagement across thousands of medical and pharmaceutical websites. My work focuses on product analytics, experimentation, and AI-driven insights that help understand how healthcare professionals interact with medical content and digital channels.
2023 - 2025
Senior Data Scientist @ Ethica CRO
Led the development of AI and NLP solutions supporting clinical research analytics and operational decision-making. Built and deployed LLM-powered tools to automate SOP generation and enable natural language querying of internal datasets. Collaborated with cross-functional teams to integrate machine learning and predictive analytics into clinical trial dashboards, improving data accessibility and supporting data-driven decisions across research teams.
2023 - Present
Data Science Instructor @ Montreal College of IT
Design and deliver an applied data science curriculum covering Python, machine learning, NLP, and deep learning. Mentor students through hands-on projects that simulate real-world data science workflows, helping them develop practical skills for industry roles.
2022 - 2023
Data Scientist @ William Osler Health System
Developed predictive models and analytics dashboards to improve healthcare operations and resource utilization. Worked with large clinical datasets to identify trends in diagnostic imaging and operational performance, translating insights into recommendations for hospital leadership.
2016 - 2022
Research Associate @ Polymath
Conducted machine learning research in biomechanics and sports performance analytics. Developed predictive models and a markerless motion capture system using depth cameras to analyze cycling performance. Managed large biomechanical datasets and supervised graduate students in experimental design, data analysis, and applied machine learning research.
Skills & Expertise
AI & Machine Learning
Machine Learning, Deep Learning, Generative AI, Natural Language Processing (NLP), Transformer Models (GPT, LLaMA), Predictive Modeling, Classification, Clustering, Recommendation Systems, Prompt Engineering, Model Deployment
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Data & Analytics
Python, SQL, R, Statistical Analysis, A/B Testing, Time Series Analysis, Feature Engineering, Data Cleaning & Transformation, Data Visualization, Experimentation, KPI Design​
Systems & Infrastructure
AWS, Azure, Snowflake, Apache Spark, Docker, Kubernetes, Data Pipelines, Distributed Data Processing, CI/CD, Git​
Leadership & Teaching
Cross-functional Collaboration, Stakeholder Communication, Technical Leadership, Mentoring, Data Science Instruction, Curriculum Design