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Argho Das

Machine Learning Associate at Vector Institute

Based in Waterloo, Canada

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Seniority

Staff

Department

Information Technology

Location

Waterloo

Industry

Research Services

Company size

601

Contact information

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Email

1 credit

a•••••••@vectorinstitute.ai

Phone

5 credits

+1 ••• •••• ••••

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Background

About Argho Das

I am a highly motivated Data Scientist and Machine Learning Engineer with a strong academic foundation, practical experience, and proven success in delivering scalable AI-driven solutions. I recently completed my Master of Data Science & Artificial Intelligence at the University of Waterloo, earning the Director’s Award for Exceptional Co-op Report. My prior degrees in Computer Science & Engineering (BSc and MSc, Magna Cum Laude) further strengthened my technical expertise. I am proficient in Python, R, SQL, and other programming languages, and skilled in machine learning techniques such as deep learning, NLP, computer vision, regression, classification, and clustering, utilizing frameworks like PyTorch, Scikit-learn, and TensorFlow. I have hands-on experience working with cloud platforms (Azure, AWS), Azure Machine Learning, Databricks, and Apache Spark for building end-to-end, production-ready models. In my role at the Vector Institute, I engineered machine learning models that enhanced operational workflows by combining data preprocessing, exploratory analysis, and model deployment. At the Canadian Intellectual Property Office, I automated patent similarity assessments using state-of-the-art models like CLIP, cutting processing time by 50% and improving decision speed for examiners. I also revamped R dashboards to boost usability for over 100 users and created automated pipelines to provide timely data updates to users. As a Lecturer at American International University-Bangladesh, I designed AI courses and led research projects in predictive diagnostics and medical imaging, resulting in multiple publications advancing AI applications in healthcare. My business development experience includes implementing ML-powered demand forecasting and data integration systems, saving significant costs and improving strategic decision-making. Certified in Azure AI Fundamentals, Python data science, SQL, and Tableau, I combine technical mastery with strong communication and collaboration skills, enabling me to translate complex data insights into actionable business strategies. I am passionate about leveraging AI and machine learning to solve complex problems, and I am confident my blend of academic excellence, research, and industry experience makes me an excellent fit for Data Scientist and Machine Learning Engineer roles.

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