Marcus Skyum Email & Phone Number

Amsterdam, North Holland, Netherlands

Develop advanced analytical methods to aid the platform work at Systemiq.Ranging from complex and dynamic modelling approaches, agent-based modelling, and geospatial models. Create interactive visualisations and actionable model output.

Copenhagen, Capital Region, Denmark

Developing advanced statistical models using machine and deep learning techniques for two research projects with the aim of contributing to novel findings public health research. Project 1 concerns a model-based approach to estimate the risk of being acutely readmitted to the hospital within 6 months of the most recent discharge. This model can prove not.

Kongens Lyngby, Capital Region, Denmark

I successfully defended my PhD on the 2nd of September 2022Responsibilities and activitiesConducting a long-term project and PhD-study with the aim of providing new statistical methodologies and novel findings in the field of accident analysis and safety science. This relied on time-series modelling, latent class/finite mixture models and other econometric.

Research Assistant in the Transport Modelling group

Remote (Rome)

Responsibilities and activitiesAiding in the transition of existing econometric models used by the group to the new statistical working system and translating current Stata code to R-language. Developing web-scrapers to gather data concerning agriculture credit from national banksProposing models to improve missing data imputation in producer price data.

Köln-området, Tyskland

Responsibilities and activitiesCollaborating with the Data Science team on providing in-house data consulting services at Real Digital, providing A.I. based and software solutions for automating decision-making processes in the other teams. Developing a data science platform for the quick launch of micro services in an easy-to-use project pipeline..

Research in Big Data analysis tools (Hadoop, Spark, Kafka....), assessing strength regarding possible uses for the company. Furthermore doing automation of processes and working with realtime visualisation of data streams and other work with Advanced Analytics using Python and R

Valby

Energi- & Vandværkstedet er en innovativ og eksperimenterende miljøskole, der tilbyder undervisningsforløb for alle klassetrin inden for temaerne energi- og vandforsyning i fortid, nutid og fremtid, altid set i et bæredygtighedsperspektiv. Energi- & Vandværkstedet drives i et samarbejde mellem Miljøtjenesten i Københavns Kommune og HOFOR.

Master Of Science (Msc), Statistik

Became MSc in Statistics on the 31st of September 2017

Bachelor Of Science (B.Sc.), Fysik, Bsc

Fysik, Physics, Bsc

Activities and Societies: Udveksling gennem UCEAPUdvekslingsår