Amina Lejla Ibrahimpasic

My job consist of: • Data Pre-Processing Cleaning and pre-aggregating data using Databricks (Spark), Redshift, Python and SQL • Data Visualization Creating dashboards combining multiple data sources to help make critical business decisions. Using SQL, R and Cluvio (BI-Tool) • Project Management Collecting and structuring feedback and feature requests from customers. Planning necessary steps within the team in order to deliver a product

• Analyzing the impact of Mobile Edge Computing (MEC) when it meets Network virtual functions (NFV) as well as the impact of user context information on stateful network functions in order to make better predictions. • Analyzing real mobile users' data gathered in the Geolife GPS project and training of a Mixture density neural network on that data.

My job consisted of writing instrument control scripts in Python to interface with and control different devices (signal generators, oscilloscopes, etc) in order to run experiments and extract measurements. Afterwards I analyzed the inputs and outputs of those experiments and training different kinds of models to fit the data and use them to make predictions.

My role as Research Assistant consisted in making Matlab simulations for “Analysis of Human-Body Blockage in Urban Millimeter-Wave Cellular Communications”​, ​which goal is to determine the probability of signal between user equipment and base station being blocked by pedestrian in urban areas. I also made more realistic scenarios in an open-source traffic simulator ​SUMO.

Data science, Wireless communications, Real time systems, Architecture of digital systems