M.Sc. Abrar Ahmed
Focus of work
Interests
- Deep Learning
- Reinforcement Learning
- Computational Statistics
Education
| 2021 | Doctoral Candidate at Trier University; Topic of the Thesis: Use of Big Data in Official Statistics |
|---|---|
| 2021 | M.Sc. in Applied Statistics Thesis: Modeling Covid-19 Data in Germany: A case study |
| 2016 | B.Sc. in Applied Statistics |
Curriculum vitae
| 2020 | Intern (Statistisches Bundesamt) |
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| 2018-2021 | M.Sc. in Applied Statistics (Trier University) |
| 2018 | Data Scientist (Robi Axiata Limited) |
| 2017 | Research Assistant (Child Health Research Foundation) |
| 2013-2016 | B.Sc. in Applied Statistics (University of Dhaka) |
| 2013-2014 | Staff-Writer (Sidetackle) |
Publications
Ahmed, A., Articus, C., Ertz, F., Münnich, R., Schmaus, S., Shlomo, N., & Weymeirsch, J. (2021): Overview report on the generation of synthetic universes for microsimulations. Utility and confidentiality of synthetically generated data sets, Deliverable D12.6, Leuven, InGRID-2 project 730998 – H2020.
