Experience
Work Experience
A seasoned and results-driven Senior Data Scientist with a Ph.D. in Biomedical Engineering and a graduate degree in Data Science. Skilled in developing advanced analytics and predictive models. Proven ability to leverage advanced analytics, machine learning, deep learning, LLMs, and natural language processing to drive business solutions, strongly emphasizing data querying, cleaning, transformation, and feature engineering. Expertise in explaining complex analytical findings to non-technical audiences and leading cross-functional teams to drive business solutions.
2023 - Present
Senior Data Scientist @ Ethica CRO
Develop and optimize AI and NLP solutions to enhance clinical research efficiency, fine-tuning LLMs and deploying internal AI-driven tools for automated SOP generation and natural language querying. Lead cross-functional collaborations to integrate machine learning, predictive analytics, and data visualization into clinical trial dashboards, improving stakeholder decision-making. Mentor teams in AI best practices, fostering innovation and data-driven operations.
2023 - Present
Data Science Instructor @ Montreal College of IT
Design and deliver the Data Science Program, covering Python, machine learning, NLP, deep learning, and data visualization. Mentor students through hands-on projects, ensuring they develop job-ready skills for careers in data science.
2022 - 2023
Data Scientist @ William Osler Health System
Developed interactive dashboards and predictive models to optimize healthcare operations and resource utilization. Processed and visualized diagnostic imaging data, improving trend identification. Collaborated with clinical officers to translate insights into strategic recommendations, reducing operational inefficiencies.
2016 - 2022
Research Associate @ Polymath
Led machine learning research to enhance cycling performance, applying PCA, clustering, and cross-validation. Developed a markerless motion capture system using Microsoft Kinect and managed biomechanical data quality for EMG, kinematics, and aerodynamics. Supervised graduate students in experimental design and data analysis, fostering innovation in biomedical research.
Skills & Expertise
Programming & Scripting (Python, R, MATLAB, DAX, SQL), Data Science & Analytics (Statistical Analysis, Predictive Modeling, A/B Testing, Time Series Analysis, Sampling Techniques), Machine Learning & AI (Regression, Classification, Clustering, Recommendation Systems, Transformer Models like GPT and Llama, Deep Learning, Prompt Engineering, Model Deployment), Natural Language Processing (NLTK, spaCy, Text Generation, Entity Recognition, Language Model Evaluation), Data Visualization & BI Tools (Power BI, Tableau, R Shiny, Matplotlib, Seaborn, ggplot2, SAP Crystal Reports), Data Science Libraries & Frameworks (Scikit-Learn, TensorFlow, PyTorch, Pandas, NumPy, SciPy, Spark, PIL), Cloud & Big Data (AWS, Azure, Spark, Docker, Kubernetes), Databases & Storage (Microsoft SQL Server, MySQL, PostgreSQL), Software Development & Deployment (Agile Methodologies, Git for Version Control, CI/CD Pipelines, Containerization), Project & Stakeholder Management (Critical Thinking, Leadership, Communication, Decision-Making, Team Collaboration, Ethics in AI), Education & Mentoring (Curriculum Design, Teaching Data Science Fundamentals & Advanced ML Concepts).