Kosti Takala
About Kosti Takala
Kosti Takala is an Economist and Data Scientist currently working at QuantCo in the Greater Boston Area. He specializes in machine learning forecasting, big data, and causal inference.
Current Position at QuantCo
Kosti Takala is currently serving as an Economist and Data Scientist at QuantCo, located in the Greater Boston Area. He joined the company in October 2018 and has since been involved in leveraging machine learning forecasting, big data, and causal inference to drive business insights and economic models. His role integrates advanced data science techniques with economic theory to address complex problems.
Professional Experience
Kosti Takala has accumulated extensive experience across various roles and sectors. He worked as a Visiting Associate at The Boston Consulting Group in Helsinki for 2 months in 2016. From 2015 to 2018, he was a Teaching Assistant at the Massachusetts Institute of Technology, assisting in Economics courses. Additionally, he has experience in reinsurance, having worked at If P&C Insurance as both a Reinsurance Specialist and Trainee between 2012 and 2013. Earlier in his career, he served as a Research Assistant at Helsinki Center of Economic Research (HECER) and Government Institute for Economic Research (VATT) in Finland.
Educational Background
Kosti Takala has a robust academic background, having pursued various disciplines at leading institutions. He earned a PhD in Economics from the Massachusetts Institute of Technology from 2013 to 2018. Prior to that, he completed a Master of Science in Economics, Information and Service Management at Aalto University from 2011 to 2013. He also holds a Bachelor of Science in Mathematics and Statistics from the University of Helsinki (2010-2013) and a Bachelor of Science in Economics and Finance from Aalto University (2008-2011).
Specialization and Expertise
Kosti Takala specializes in areas such as machine learning forecasting, big data, and causal inference. His expertise includes developing and implementing complex algorithms to analyze large datasets, providing valuable insights for economic modeling and decision-making processes. His background in both academic and corporate environments positions him uniquely to tackle a wide range of economic and data science challenges.