Curriculum Vitae

I believe that words and data are the two most powerful tools to change the "world". I am mostly programming and working on gaining insights from large data sets and interpreting them. My skills include network & statistical data analysis, data visualization, machine learning, and statistical consulting. I have developed a keen understanding of problem-solving and enjoy challenges.

Occasionally, in my free time, I work on things that are important to me as well, like creating personal projects and writing tutorials.

  • R
  • Python
  • LATEX
  • Git
  • SPSS
  • HTML5

Experience

current - from 04/2022

Data Scientist

Allianz SE

Data Scientist at Group Data Analytics (GDA), Allianz SE.

08/2017-03/2022

Research Associate

Ludwig-Maximilians-Universität Munich

Ph.D. candidate, dissertation topic: Modeling Unobserved Heterogeneity in Social Network Data Analysis | Lecturer for introductory and programming courses (Introduction to Statistical Data Analysis with R and Programming with R) | Lecturer for classes at the Department of Statistics (Descriptive Statistics, Statistics II and III, Linear Models, Generalized Regression, Sampling Theory, Design of Experiments, and Advanced Statistical Modelling). | Supervisor of theses (Beginning Internship, Statistical Internship, and Bachelor’s Thesis) | Collaboration on the monitoring report 2019 of the Federal Environment Agency (Umweltbundesamt) | Statistical consulting of > 50 LMU internal small and large projects | Preparation of scientific publications.

02/2015–07/2017

Student Assistant StaBLab

Ludwig-Maximilians-Universität Munich

Statistical consulting and data analysis for many external and LMU internal projects.

01/2005–12/2014

Managing Director

Own Company

Company in retail and gastronomy. Locations in Munich, Neubiberg and Baldham.

Education

8/2017–03/2022

Ph.D.

Ludwig-Maximilians-Universität Munich

Degree sought: Dr. rer. nat., Thesis topic: Modeling Unobserved Heterogeneity in Social Network Data Analysis.

10/2014–07/2017

Master’s Degree in Biostatistics

Ludwig-Maximilians-Universität Munich

Degree: M. Sc., Biostatistics, Thesis: Separable Temporal Exponential Random Graph Models.

09/2000–07/2004

Diploma in Psychology

University of Practical Psychology and Sociology Urartu

Degree: Diplom in Psychology, Thesis: Conflicts in Organizations and The Ways of Overcoming Them.

Awards

Best Poster Award

Iterative Estimation Approach for Exponential Random Graph Models (ERGMs) with Nodal Random Effects. International COSTNET Conference 2018, September 26-28, in Warsaw Poland.

Communication Skills

Conferences

  • Oral presentation at the DAGStat Conference 2019 in Munich, Germany
  • Oral presentation at the summer retreat 2019 of the department of statistics in Holzhausen, Germany
  • Oral Presentation at the COSTNET Conference 2019 in Bilbao, Spain

Posters

  • Poster at the COSTNET Conference 2018 in Warsaw, Poland
  • Poster at the MCML: Munich Center of Machine Learning 2019 in Munich, Germany

Skills

Team player and communicative due to many years of experience in joint project works (LMU internal as well as external projects & StaBLab), due to working as a student assistant on numerous group projects during studies.

Courteous, friendly demeanor through experience as a lecturer, working with project partners, working as a tutor, and as a student assistant.

Disciplined through the experience of writing my doctoral, master’s, and diploma theses, publications, and many years of work as a research assistant and research associate.

Enthusiastic about new tasks and interested in learning new things.

References

Prof. Dr. Göran Kauermann

Doctoral Supervisor

Prof. Dr. Helmut Küchenhoff

Head of StaBLab

The Statistical Consulting Unit (StaBLab), Ludwig-Maximilians-Universität München.
Telefon: +49 89 2180 2814
E-Mail: kuechenhoff@stat.uni-muenchen.de

Publications

Kevork, S. and Kauermann, G. (2022). Bipartite Exponential Random Graph Models with Nodal Random Effects. Social Networks, 70:90-99, ISSN 0378-8733, https://doi.org/10.1016/j.socnet.2021.11.002.

Kevork, S. and Kauermann, G. (2021). Iterative Estimation of Mixed Exponential Random Graph Models with Nodal Random Effects. Network Science 9, 478–498. https://doi.org/10.1017/nws.2021.22.

Witting, M., Filimon, S., Kevork, S. (2021). Carry along or not? Decision-making on carrying standard avalanche safety gear among ski tourers in a german touring region. Safety Science, 105406, ISSN 0925-7535, https://doi.org/10.1016/j.scci.2021.105406.

Pöllath, N., García-González, R., Kevork, S., Mutze, U., Zimmermann, M. I., Özbasaran, M., Peters, J. (2021). A non-linear prediction model for ageing foetal and neonatal sheep reveals basic issues in early neolithic husbandry. Journal of Archaeological Science, 105344, ISSN 0305-4403, https://doi.org/10.1016/j.jas.2021.105344.

Freick, M., Weber, J., Passarge, O., & Kevork, S. D. (2017). Effects of erythromycin on milk yield, rumen contraction rate and blood beta-hydroxybutyrate concentration in dairy cows after laparoscopic reposition of the left displaced abomasum. Veterinarni Medicina, 61(8), 413-420.

Languages

  • German
  • English
  • Hebrew
  • Armenian
  • Arabic
  • Russian

Interests

I love going to the theater; it makes me feel immersed in new exciting worlds. Traveling and learning about new cultures is a quality of life for me, and my many language skills make interacting easier. Movie nights with my family or just listening to music are interests which I value much.

Motto

"If you can't explain it to a six year old, you don't understand it yourself"

Albert Einstein