Summary
Overview
Work History
Education
Skills
Hobbies
Languages
Timeline
Generic

Bayram Oruc

Frankfurt Am Main

Summary

I’m an Economic Statistician at the Federal Statistical Office of Germany (Destatis), specialising in short-term business statistics and time-series methods such as nowcasting, seasonal adjustment and imputation. I’m responsible for our data architecture and the end-to-end production and publication of industrial indicators, coordinate reporting with Eurostat and German state statistical offices, and co-develop infrastructural IT solutions. Previously I worked at the ECB’s Forecasting & Policy Modelling Division and the Deutsche Bundesbank; I’m currently pursuing a part-time PhD in economics and code in Matlab and R.

Overview

9
9
years of professional experience

Work History

Economic Statistician

Federal Statistical Office of Germany
10.2021 - Current
  • Maintained and evolved the division’s data architecture and pipelines for short-term business statistics.
  • Co-developed and prototyped infrastructural IT solutions with cross-functional teams.
  • Prepared statistical analysis plans and provided statistical interpretation for graphs, tables and charts.
  • Conducted thorough research and analysis of complex datasets, identifying trends and patterns for strategic planning purposes.
  • Applied machine learning algorithms to increase the precision of predictive analytics models based on micro- and macroeconomic data.
  • Applied statistical methods to solve specific problems and managed assigned deliverables related to study.
  • Increased efficiency by automating routine tasks with custom scripts written in statistical programming languages such as R or SAS.
  • Liaised with Eurostat and the statistical offices of the German Länder (state offices) on quality assurance, data harmonisation, and coordination for national and EU reporting.

PhD Traineeship

European Central Bank
08.2020 - 09.2021
  • Contributed to Eurosystem macroeconomic modelling in the Forecasting and Policy Modelling Division.
  • Supported the analysis of Dynamic Stochastic General Equilibrium models and their implementation at the zero lower bound (ZLB); developed materials for the Eurosystem Working Group on Econometric Modelling (WGEM).
  • Contributed to macroeconomic projections and New Area-Wide Model (NAWM)-based simulations on the YADA platform; optimized model routines and code quality.
  • Applied advanced programming skills (Python, R, MATLAB) to process large datasets and maintain the statistical foundations of forecasting and analysis processes; proficient use of GitLab and internal data infrastructures.

PhD Intern

Deutsche Bundesbank
04.2019 - 09.2021
  • Supported macroeconomic forecasting, DSGE modelling and quantitative economic analysis within the Monetary Policy Department.
  • Applied advanced econometric techniques for evidence-based policy advice in the context of monetary policy decision-making.
  • Conducted counterfactual analyses and produced conditional forecasts for GDP, inflation and interest rates, taking into account short- and long-term zero lower bound expectations on nominal interest rates (using Matlab).

Research Associate

FernUniversität in Hagen
04.2017 - 03.2021
  • Supervised seminar and thesis projects; supported exam preparation, teaching and research in Applied Statistics.
  • Designed and taught Advanced Statistics and Time-Series Analysis courses focusing on regression, maximum-likelihood estimation, and stochastic processes.
  • Applied econometric methods for economic forecasting and analysis, including Bayesian methods and structural VARs (SVARs).
  • Deepened methodological expertise in quantitative analysis and data modelling in an academic research and teaching context.

Intern

Deutsche Bundesbank
04.2016 - 07.2016
  • Enhanced skills in real-time analysis, model validation and economic forecasting in a policy setting at the Business Cycle Analysis Division.
  • Utilized advanced econometric methods to analyse and assess macroeconomic data and leading indicators.
  • Applied Bayesian estimation methods to estimate output gaps using macroeconomic and time-series econometric state-space models.

Education

Ph.D. - Economics

University of Erfurt
Erfurt, Germany
12-2026

Master of Science - European Economic Studies

University of Bamberg
Bamberg, Germany
03-2017

Bachelor of Science - Economics

University of Bonn
Bonn, Germany
09-2013

Skills

  • Statistical analysis
  • Statistical software
  • Conducting research
  • Matlab
  • R programming
  • Missing data imputation
  • Data analysis
  • Machine learning
  • Bayesian statistics
  • Time series analysis

Hobbies

Outside of work, I enjoy time with my family & friends, staying active, and listening to music.

Languages

English
Advanced (C1)
German
Bilingual or Proficient (C2)
Turkish
Advanced (C1)
Spanish
Beginner (A1)

Timeline

Economic Statistician

Federal Statistical Office of Germany
10.2021 - Current

PhD Traineeship

European Central Bank
08.2020 - 09.2021

PhD Intern

Deutsche Bundesbank
04.2019 - 09.2021

Research Associate

FernUniversität in Hagen
04.2017 - 03.2021

Intern

Deutsche Bundesbank
04.2016 - 07.2016

Ph.D. - Economics

University of Erfurt

Master of Science - European Economic Studies

University of Bamberg

Bachelor of Science - Economics

University of Bonn
Bayram Oruc