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Personal

Language Skills

R
Python
C++
Bash
SQL
Javascript

Development Tools

Git
Docker
Linux
CI / CD

Main

Jonathan Berrisch

Specialized in econometrics, highly skilled in R, C++, and Python. Currently working in academia, I stand between stats and information technology. I’m now researching probabilistic forecasting. I also enjoy contributing to open-source projects and spreading knowledge by creating meaningful and appealing visualizations.

Education

PhD. Candidate, Econometrics

University of Duisburg Essen

Essen

Current - 2020

  • Probabilistic forecasting in energy markets

M.Sc., Economics

University of Duisburg Essen

Essen

2020 - 2017

  • Focused on Econometrics
  • Gathered experience in R
  • Graduated with Distinction: 1.2

B.Sc. Economics and Business Administration

FernUniversität in Hagen

Remote

2017 - 2013

  • Focused on Monetary Policy and Quantitative Economics
  • Final Grade: 1.7

Research Experience

Research Assistant

University of Duisburg Essen

Essen

Current - 2020

  • Chair of Environmental Economics and Renewable Energies Prof. Dr. Ziel

Research Aide

University of Duisburg Essen

Essen

2019 - 2018

  • Chair of Econometrics: Prof. Dr. Christoph Hanck
  • Working with R, Latex, Git, SQL
  • First teaching experience

Industry Experience

Masters Degree Candidate

RWE Supply and Trading GmbH

Essen

2020 - 2020

  • Developing forecasting models for European natural gas prices
  • Working with Python, Tensorflow, SQL, Git

Working Student

Stepstone.de

Duesseldorf

2017 - 2015

  • Quality Assurance

Service Employee

Stadtsparkasse Duesseldorf

Duesseldorf

2015 - 2014

Apprentice

Stadtsparkasse Duesseldorf

Duesseldorf

2014 - 2012

I gathered industry experience early by studying the bachelors to moonlight.

Publications

CRPS Learning

Journal of Econometrics

N/A

2023

  • Jonathan Berrisch, Florian Ziel

Modeling volatility and dependence of European carbon and energy prices

Finance Research Letters

N/A

2023

  • Jonathan Berrisch, Sven Pappert, Antonia Arsova, Florian Ziel

High-resolution peak demand estimation using generalized additive models and deep neural networks

Energy and AI

N/A

2023

  • Jonathan Berrisch, Florian Ziel

Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices

International Journal of Forecasting

N/A

2023

  • Jonathan Berrisch, Florian Ziel

Distributional modeling and forecasting of natural gas prices

Journal of Forecasting

N/A

2022

  • Jonathan Berrisch, Florian Ziel

Implementation of a Self-Enforcing Network to Identify Determinants of the WiFi Quality on German Highspeed Trains

ThinkMind Library

N/A

2019

  • Jonathan Berrisch, Timo Rammert, Christina Klüver
  • Proceedings of the INTELLI 2019 conference

Conferences and Workshops

I’m excited about using the unbelievable amount of data we have to create solutions with impact.

International Ruhr Energy Conference (INREC)

Speaker

Essen

2023

  • High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks

Statistische Woche 2023

Speaker

Dortmund

2023

  • Modeling Volatility and Dependence of European Carbon and Energy Prices

ARGE Masterclass 2023 “Econometrics of Energy Markets“

Speaker

Berlin

2023

  • Modeling Volatility and Dependence of European Carbon and Energy Prices

ECMI 2023 Conference

Speaker

Wrocław, Poland

2023

  • Multivariate Probabilistic CRPS Learning: An Application to Day-Ahead Power Prices

Smart4RES Final Conference

Participant

Paris, France

2023

  • Next-generation Forecasting of Renewable Generation for Large-scale Integration in Energy Systems and Markets

International Symposium on Forecasting

Speaker

Oxford

2022

  • High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks
  • Best Student Presentation Award

UseR! 2022 Conference

Speaker

Remote

2022

  • An Introduction to Rcpp Modules

International Conference on Computational Finance 2022

Speaker

Wuppertal

2022

  • Multivariate CRPS Learning with Applications to Electricity Price Forecasting

15TH RGS Doctoral Conference in Economics

Speaker

Remote

2022

  • CRPS Learning

International Symposium on Forecasting

Speaker

Remote

2021

  • CRPS Learning

European conference on Operational Research

Speaker

Remote

2021

  • CRPS Learning

International Symposium on Forecasting

Speaker

Remote

2020

  • Modeling and Probabilistic Forecasting of Natural Gas Prices

International Ruhr Energy Conference (INREC)

Speaker

Remote

2020

  • Data Science Methods for Probabilistic Natural Gas Price Forecasting

INTELLI 2019 - The Eighth International Conference on Intelligent Systems and Applications

Speaker

Rome, Italy

2019

  • Implementation of a Self-Enforcing Network to Identify Determinants of the WiFi Quality on German Highspeed Trains

The European Union, a union that does not work anymore?

Participant

Brussels, Belgium

2018

  • Three-Day Study Trip

The 18th summer workshop: “European monetary policy in practice”

Deutsche Bundesbank

Eltville am Rhein

2018

  • Two-Week Workshop on Monetary Policy

Voluntary

I like exchanging ideas, connecting to people and shaping the future.

Member of the Student Parliament

University of Duisburg Essen

Essen

2022 - 2020

Member of the Student Parliament Presidium

University of Duisburg Essen

Essen

2021 - 2020

Committees

University of Duisburg Essen

Essen

2020 - 2019

  • Evaluation committee for Jun. Prof. Dr. Ziel (Student Member)
  • Evaluation committee for Jun. Prof. Dr. Beck (Student Member)
  • Appointments committee for a new proffessorship in economics esp. public finance (Student Member)

Mentor

University of Duisburg Essen

Essen

2018

  • Supporting the elementary students of M.Sc. Economics












Last updated on 2024-03-10.

Source: github.com/BerriJ/cv.