Kaviraj Singh
Lead Data Scientist @Canadian Chamber Of Commerce
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WORK HISTORY
Lead Data Scientist @Canadian Chamber Of Commerce
Ottawa, ON, CA
As a Lead Data Scientist, I lead the design, development, and delivery of advanced analytics products that support economic analysis, policy insight, and strategic decision-making for businesses and policymakers across Canada.Key responsibilities and contributions include:Leading end-to-end development of data science solutions, from problem framing and methodology design to implementation and stakeholder deliveryBuilding and maintaining economic indicators, forecasting models, and productivity metrics using structured and unstructured data sourcesDeveloping scalable analytics platforms and interactive dashboards (e.g, Power BI, R Shiny) used by senior leadership, members, and external stakeholdersApplying statistical modeling, machine learning, and time-series analysis to generate forward-looking insightsTranslating complex analytical findings into clear, actionable narratives for non-technical audiencesCollaborating closely with economists, policy experts, designers, and engineers to deliver high-impact data productsEnsuring analytical rigor, reproducibility, and governance in production-grade data science workflowsSupporting modernization initiatives across cloud infrastructure, automation, and analytics toolingThis role sits at the intersection of data science, economics, technology, and business strategy, with a strong focus on turning complex data into insights that drive real-world impact.
EDUCATION
Panjab University
Postgraduate Degree, Computer Programming, Specific Applications
GNDEC , Ludhiana
Bachelor's Degree, Information Technology
Baba Banda Singh Bahadur High School
High School
Sri Guru Nanak Dev Senior Secondary School, Qadian, Punjab
Higher Secondary, Science
ABOUT KAVIRAJ SINGH
Currently working as a Lead Data Scientist at the Canadian Chamber of Commerce, where I design and deliver advanced analytics and data products that support evidence-based decision-making, economic insight, and strategic growth.My work sits at the intersection of statistical rigor, modern data technology, and real-world business and policy challenges. I specialize in transforming complex, messy datasets into clear, actionable insights through applied data science, predictive modeling, and interactive analytics platforms.I have led and delivered multiple high-impact analytics initiatives, from economic indicators and forecasting models to decision-support dashboards used by senior leaders, policymakers, and external stakeholders. I enjoy collaborating closely with domain experts to frame the right questions and translate analytical results into outcomes that matter.I am particularly motivated by problems where data can inform strategy, improve productivity, and drive measurable impact and I am always open to conversations with people tackling complex business or economic challenges through data.Technical Expertise:Python, R, Machine Learning, Statistical Modeling, Algorithms, SQL, MongoDB, Power BI, Tableau, QGIS, AWS, Pentaho, VBA, Jupyter Notebook, R shiny, C#, Azure
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