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Jakub Fodor is listed as Data Scientist at Swiss Re, a company with 10 employees, based in Bratislava, Slovakia, Slovakia. AeroLeads shows a matched LinkedIn profile for Jakub Fodor.
Jakub Fodor previously worked as Scalable Analytics Solutions Lead at Swiss Re and Senior Data Scientist at Swiss Re. Jakub Fodor holds Master'S Degree, Mathematical And Statistical Methods In Economics from Masaryk University Brno.
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Jakub Fodor is a Data Scientist at Swiss Re. He possess expertise in analytical skills, economic modeling, statistical modeling, macroeconomics, econometrics and 3 more skills. He is proficient in German and English.
Listed skills include Analytical Skills, Economic Modeling, Statistical Modeling, Macroeconomics, and 4 others.
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Bratislava, Slovakia
- Leading a team of data scientists and data engineers developing analytics solutions- Actively mentoring and consulting ideas in data science domain- Acting as part of code review and model review board to ensure quality of developed analytical solutions- Contributing to creating methodologies to streamline and standardize work on data-related projects
- Leading and contributing to data science projects with focus on statistical methods and NLP- Acting as part of code review and model review board to ensure quality of data science solutions- Contributing to creating methodologies to streamline and standardize work on data-related projects
Bratislava, Slovakia
- Applying statistical and machine learning methods to create tools and derive insights from data- Data engineering, creating and improving ETL pipelines- Supporting the data science team with expertise in statistical methods
Bratislava, Slovakia
- Creating long-term projections of public expenditures- Quantifying effects of various economic measures on public expenditure- Analyzing economic topics using statistical modelling- Representing Slovakia in the Ageing Working Group of the European Commission- Forming policy recommendations for the pension system
Prague, The Capital, Czech Republic
- Development and validation of statistical models in area of credit risk
Brno-Modřice, Czech Republic
- Creating databases from structured and unstructured data- Data quality control
Other employees you can reach at swissre.com. View company contacts for 10 employees →
Paul Stanton
Colleague at Swiss ReCanterbury, England, United Kingdom, United Kingdom
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DH
David Hermoso Antoniles
Colleague at Swiss ReSwitzerland, Switzerland
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SS
Sue Skrobak
Colleague at Swiss ReNew York, New York, United States, United States
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YM
Yash Mohta
Colleague at Swiss ReBengaluru, Karnataka, India, India
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RT
Robert Trorke
Colleague at Swiss ReCanada, Canada
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RS
Robert Swenson
Colleague at Swiss ReNew York, New York, United States, United States
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TL
Tingting Liu
Colleague at Swiss ReChaoyang District, Beijing, China, China
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SR
Siddhartha Rajvansh Dhar
Colleague at Swiss ReLondon, England, United Kingdom, United Kingdom
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NT
Nandagopal T A
Colleague at Swiss ReKochi, Kerala, India, India
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MB
Martín Bages
Colleague at Swiss ReMiami, Florida, United States, United States
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One semester study program at University of Ulm. Studies of mathematics and economics in german and english language.
Quick answers generated from the profile data available on this page.
Jakub Fodor works for Swiss Re.
Jakub Fodor is listed as Data Scientist at Swiss Re.
Jakub Fodor is based in Bratislava, Slovakia, Slovakia while working with Swiss Re.
Jakub Fodor has worked for Swiss Re, Ifp - Institute For Financial Policy, Pwc Czech Republic, and Fastenal Europe.
Jakub Fodor's colleagues at Swiss Re include Paul Stanton, David Hermoso Antoniles, Sue Skrobak, Yash Mohta, and Robert Trorke.
You can use AeroLeads to view verified contact signals for Jakub Fodor at Swiss Re, including work email, phone, and LinkedIn data when available.
Jakub Fodor holds Master'S Degree, Mathematical And Statistical Methods In Economics from Masaryk University Brno.
Jakub Fodor is listed with skills including Analytical Skills, Economic Modeling, Statistical Modeling, Macroeconomics, Econometrics, Statistical Data Analysis, Microsoft Excel, and R.
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