Baris Soybilgen

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Welcome, I am a senior data scientist at Sambla Group, building cutting-edge data products. My current work involves implementing marketing mix modeling tools, building predictive customer behaviour models, and developing large language model-based applications.

Previously, I was a data analyst at the Governance and Local Development Institute in 2022, research scientist at the Center for Financial Studies between 2015 and 2022, and a research assistant at the Center for Economic and Social Research between 2010 and 2015. I have completed my PhD and MA in economics and BSc in systems engineering.

I’ve authored 17 scientific papers, contributed 3 book chapters, and written numerous research briefs. My expertise lies in building predictive models, analyzing macroeconomic and financial systems, and applying machine learning and statistical techniques to address real-world challenges.

I am passionate about utilizing data to inform strategic decision-making and generate impactful outcomes. I welcome inquiries about potential collaborations.

latest posts

selected publications

  1. IJF2016
    Nowcasting Turkish GDP and news decomposition
    Michele Modugno, Baris Soybilgen, and Ege Yazgan
    International Journal of Forecasting, 2016
  2. EM2018
    Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate
    Baris Soybilgen, and Ege Yazgan
    Economic Modelling, 2018
  3. JF2020
    Identifying US business cycle regimes using dynamic factors and neural network models
    Baris Soybilgen
    Journal of Forecasting, 2020
  4. CE2021
    Nowcasting US GDP using tree-based ensemble models and dynamic factors
    Baris Soybilgen, and Ege Yazgan
    Computational Economics, 2021