Machine Learning and Quantitative Researcher with strong foundations in statistical modeling, Bayesian inference, and time-series analysis, applied to financial markets, economic systems, and large-scale financial data. Experienced in developing predictive models, algorithmic strategies, and data-driven decision frameworks for investment and policy analysis.

Currently pursuing an MSc in Finance (SFU Beedie School of Business) with a focus on portfolio optimization, derivatives pricing, and risk management, grounding my work in asset pricing theory and applied financial modeling. In parallel, completing an MS in Computer Science (Georgia Tech) with a specialization in Machine Learning, Bayesian Statistics, Time Series Analysis, and algorithmic strategy design, providing a rigorous statistical and computational foundation for quantitative research.

Professional experience includes advanced analytical work at Fiscal Realities Economists, applying machine learning, econometric modeling, and large-scale data engineering to audited financial statements, government reports, and long-term fiscal and infrastructure planning. My work directly supports First Nations governments and institutions, including projects under the First Nations Fiscal Management Act (FMA), such as AI-driven extraction and natural-language analysis of First Nations financial statements, revenue and expenditure modeling, settlement claims impact assessments, and Indigenous economic and land management databases, enabling evidence-based decision-making for taxation, budgeting, governance, and infrastructure investment.

Completed professional training including the Financial Engineering and Risk Management Specialization (Columbia University) and the Google Data Analytics Certificate. Actively engaged in algorithmic trading and quantitative research through QuantConnect and GitHub projects, translating academic methods into production-oriented models and strategies.

I’m looking to collaborate on Github.

📫 Email: [email protected]

Linkedln: https://www.linkedin.com/in/amlannag/

Quant-Connect: https://www.quantconnect.com/u/amlan-nag/