Welcome to my homepage.

My name is Behrang QasemiZadeh and I am senior data scientist at the Henkel's center of excellence for data analytics since 2020.


In my current position at Henkel, I have developed skills in industrial applications of machine learning and artificial intelligence methods. Noteably, I have been involved in developing Bayesian Optimization Models for material engineering, product formulation development, and iterative design at Henkel in close collaboration with chemists.
I am an end-to-end data science delivering reliable software solutions from an initial idea to proof of concept, minimal viable product and the final application; and, from mathematical and back end developments to developing user-friendly interfaces such as delivering a complete web-based app for the initial business idea (all with the aim of bringing cost-effective value for a given business challenge).

Prior to joining Henkel, I worked at Academia at various capacity, mostly in the general area of natural language processing and computational linguistics.
As my last academic position, I was a postdoc researcher at the DFG Collaborative Research Centre 991 (Prof. Laura Kallmeyer) ... to read more click here

• My CV can be accessed here: cv here (PDF format)