Suprabha Baniya

About Suprabha Baniya

Upon completion of my PhD in Economics from Purdue in 2017, I worked as a tenure-track Assistant Professor (Ph.D. faculty of International Economics) at Clark until 2022. At Clark, I taught international trade (and finance) both at the Ph.D. and at undergraduate levels, and produced scholarly research in the fields of international trade and transportation using econometrics, CGE models and GIS analysis.After spending 5+ years in academia, I have come to realize the value of economic principles and methodologies in industry data science and machine learning. Thus, I have made a conscious and a personal decision to join the industry at this point; however, I continued to teach and advise PhD students at Clark as an Adjunct Professor.I am currently working as an Associate Director - Business Forecasting Lead at Takeda Pharmaceuticals (BioLife PDT) at the forecasting, pricing and analytics team. My primary works include plasma donation volumes forecasting, and donor experimentations and analytics for the EU and U.S. operations. In the past, I have held research/data science positions at the International Monetary Fund (IMF), the World Bank, ADB, GTAP, Overstock.com Inc, Shipt, AT & T and Employers Insurance Group, where I worked on a wide range of policy and industry-relevant projects proving myself effective in the areas of ML, econometrics, causal inference, forecasting, optimization, experimentation, GIS and analytics.I published co-authored research with the World Bank and the ADB investigating the trade effects of BRI (at Journal of Development Economics) and the CAREC transport reforms respectively. My academic research investigates the trade and welfare effects of indirect time costs, incurred while accessing the intermediate inputs, in the presence of global input-output linkages. My Ph.D. dissertation is a part of IMF\'s Trade Integration in Latin America, 2017. Using the GTAP firm-heterogeneity CGE model, I also examine the general equilibrium effects of transport reforms on the export participation and composition in South and Central Asia. My research with graduate students at Clark and Harvard compute the worldwide optimal trading times in the presence of multi-modal transport networks. Using this, we examine how the effects of infrastructure can differ across products in terms of their location decisions due to the variation in time sensitivity at different production stages. By geographically locating firms along the worldwide transport network, we examine the effects of transport reforms on firm outcomes.

Experience

1. Associate Director - Business Forecasting Lead

   Takeda

   Mar 2024 — Present

   BioLife Plasma Derived Therapies (PDT)- Forecasting, Pricing, Experimentation and Analytics