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Rahul Tak

Bucharest University of Economic Studies (ASE)

About

Rahul is a MSCA Digital PhD student at the Bucharest University of Economic Studies. He is working on developing industry ready (robust, explainable, transparent, scalable and practical) deep learning based automated trading systems. 


He was a consultant in analytics and financial risk management division at Deloitte, where he worked with some of the world’s largest financial institutions to provide them with AI/ML based solutions to prevailing problems in the financial sector like climate change, privacy and forecasting. 


He pursued a BS-MS with specialization in Physics from Indian Institute of Science Education and Research. He is interested in building data driven learning methods to understand and study the evolution of Complex Dynamic systems. He is an enthusiastic learner constantly improving understanding of fundamental and emerging topics like ML, XAI, advanced AI algorithms and time series analysis.

Key Achievements and Outputs

Research Interests

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Complex Dynamic Systems, AI for timeseries, industrial application of ML, XAI, network analysis and ESG

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe: Marie Skłodowska-Curie Actions. Neither the European Union nor the granting authority can be held responsible for them. This project has received funding from the Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101119635

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