Hi, I'am Tamer Khraisha.
I am originally from the Middle East, but I have been living in Europe for the past 12 years, and currently, I am based in Budapest, Hungary. I did my undergraduate studies in finance and economics, which constitute my primary domain of knowledge. After that, I earned a Ph.D. cum laude in
What is Network Science?
Network science is an interdisciplinary field of research that leverages the increasing availability of network data to investigate a wide range of complex phenomena such as collective social behavior, technological development, financial stability, biological interactions, and many more. Network data consists of many units known as nodes and relationships between these nodes known as links. Nodes can be persons, organizations, URLs, or proteins. Links can represent relationships such as friendship between persons, technological transfers between firms, hyperlinks between websites, and chemical interactions between proteins. Network science employs an extensive array of analytical methods and data science techniques borrowed from sociology, mathematics, physics, computer science, and economics. from the Department of Network and Data Science at the Central European University in Budapest. During my Ph.D., I worked on the problem of collective technological innovation as well as on a variety of computational and data-driven projects.
For the past two years, I have been working as a full-time software developer and data engineer at Alphacruncher in Budapest. At Alphacruncher, I work on a variety of tasks including the automation of Extract, Transform, Load (ETL) jobs, documenting and implementing techniques for filtering errors and biases in datasets, writing complex queries for generating SQL views and data filtering, matching datasets between different sources, and developing the front-end UI for a data management application. I have worked with well-known financial datasets such as TAQ, CRSP, COMPUSTAT, IVYDB OptionMetrics, RavenPack, DealScan, and others.
As a data scientist and developer, I like to work on creating products derived from scientific analysis of data
In the medium-long run, I am interested in pursuing a career which combines scientific research with industrial applications. I have a particular interest in the topic of fraud detection and would be interested to work and do research in this field. I am also interested in research and applications related to the field of technological innovation which I explored during my PhD studies.
I believe in the power of knowledge sharing as an important factor in solving nowadays complex problems. I share some of my articles and ideas on my blog which you can reach from the above navigation bar.