Olle Holmberg

Conducting research at the Machine learning group, Institute of Computational Biology (ICB), focusing on the development and application of Deep learning models onto medical imaging. Main areas of interests are increasing safety in DL methods in medical applications by using Bayesian deep learning and advanced image segmentation for precision medicine among others.

Continuing Implementing BI solutions for Allianz Technology part time. Building and testing the Data Warehouse. Analyzing business needs through a data perspective. Designing and creating front end layers of Allianz Business Intelligence solutions.

Implementing BI solutions for Allianz IT. Building and testing the Data Warehouse. Analyzing business needs through a data perspective. Designing and creating front end layers of Allianz Business Intelligence solutions.

Supporting the Business Intelligence Team in the daily business (e.g. handling of ad hoc requests) Full responsibility of preparation, analysis and interpretation of relevant data for specific department areas (e.g. Logistics, Sourcing, Marketing, CRM). Generating regular reports Independent realization of projects in corporation with other departments

I preformed a course project at Miljöbron Skåne for the newly started company Cook'n Smile Food Communication AB. The assignment was to help the company develop a proposal for a marketing plan suitable for a food fair. Our proposal included preparatory activities befor the show as well as guidelines on how the fair could be carried out. Brand exposure and spread through social media was highlited as particularly important areas to work with befor and during the fair.

I organized a sales plan with list of potentials sponsors, sales approach, as well as executing all actual sales.

This program places an emphasis on basic mathematical subjects such as numerical analysis and optimization. In my curriculum there was an emphasis on Machine Learning and Data analysis topics.

I was selected to participate in a reciprocal exchange between Lund University and University of California San Diego (UCSD). At UCSD I finished my Bsc in Statistics but also took courses in Computer Science.

I decided to study two courses over the summer 2013. The courses were unrelated to my major but gave me a great insight and basic knowledge of their respective academic fields.

I wrote my bachelor thesis about statistical modeling for price prediction of metals. By looking at past values of Copper prices, on a regulated market, we could show that it could be predicted and had a dependence over the chosen time.