We are a dynamic and inter-disciplinary team of problem solving experts that constantly strives to improve your business and help you to make the best decisions. Our aim is to help businesses with excellent optimisation solutions.
MEET OUR TEAM
DR. HAKAN UMIT
Hakan is an expert in solving large scale decision-making problems in strategic and operational management of complex systems, including smart grid design and planning, internet and telecommunications network optimisation, and logistics network design in supply chains. He obtained his PhD in Management Science and Applied Mathematics from Université catholique de Louvain. Previously he worked at AT&T Labs Research in NJ, USA. He is the author of the book Decision Making in Internet Networks.
DR. DERYA DILARA AKGUNER
BUSINESS DEVELOPMENT, Derya Dilara is an expert in finding creative city solutions such as urban social cohesion and resilience by using a multi-disciplinary and multi-level approach. Previously, Derya Dilara worked on a project on Sharing and Re-creating Urban Public Spaces in Global Cities, in Berlin, Germany. She is now working on several indexes for various global bodies, including publishing creative data on urban issues relating to diversity, security, sustainability, resilience, and social connectivity in global urban public spaces. Derya Dilara holds a doctoral degree in Political Science and Government from Monash University.
PRODUCT DEVELOPMENT, ALGORITHMS Simon is an expert in algorithm and software development. He has extensive expertise and experience in developing a wide range of algorithms (machine learning, genetic, tabu search) to model and optimise large scale systems. He holds a civil engineering degree from Université catholique de Louvain, where he specialised in computer science. Additionally, he obtained a Master’s degree in Applied Mathematics from the same institution. Previously, he worked as a software engineer to build smart grid applications.
OMER FARUK KAPLAN
PRODUCT DEVELOPMENT, BIG DATA Omer is an expert in statistics and machine learning algorithms. He has broad knowledge and experience in supervised and unsupervised learning methodologies for predictive analysis and classification purposes. He obtained Master’s degree from Katholieke Universiteit Leuven in Management with a specialisation in statistics and machine learning and Bachelor’s degree in Statistics from Mimarsinan University in Istanbul. Previously, he worked as a price modeller and risk analyst in economic applications.
ALP METE U.
JUNIOR DATA ANALYST, Alp is an expert in applied research methods and data sciences. He obtained his Bachelor’s degree from Hacettepe University in Biology magna cum laude with a specialisation in molecular biology. He has been awarded with a prestigious grant from the Scientific and Technological Research Council of Turkey (TUBITAK) to work on DNA metabarcoding technology for micro biodiversity purposes. He has been working at Pôle Position on various digitalisation projects as a data analyst and researcher.