Rasmus Sten Andersen Email & Phone Number

Copenhagen, Dk

Capital Region, Denmark

Advancing the AI roadmap for FounData, focusing on value-driven AI use cases involving Large Language Models and Knowledge Graphs.

Copenhagen, Capital Region, Denmark

Practice Lead driving innovation in ADC, specializing in the life science sector. Integral part of the management team, overseeing data science, data engineering, and shaping strategic value propositions and service offerings.Key contributions:- Leadership & Management: I lead life science-focused teams and projects and contribute to overall management strategy.- Strategic Planning: Devise and execute life science practice strategies and align initiatives with organisational goals.- Technical Oversight: Ensure robust data science solutions and engineering pipelines.- Client-Centric Approach: Craft compelling value propositions and drive client engagement and solution co-creation.

Copenhagen, Capital Region, Denmark

Damvad Analytics enters 2023 as Amsterdam Data Collective. We have tripled our strength to draw upon wide experiences from Copenhagen, Stockholm, and Amsterdam. With collaboration as our mantra, we stretch across society-minded data science, data-minded anthropology, and impact-minded strategy for your business, fund, or government to shine.I am heading our DK data science consultancy practice.

Copenhagen, Capital Region, Denmark

I am heading our data science consultancy practice with a team of 6 data scientists. We provide end to end machine learning products and analyses for clients in both the life science industry, financial services and the higher education sector. Our usual projects involve data exploration and data engineering, model building and testing and lastly deployment to a production setting. Besides the data science consultancy practice I am involved in our internal product development. At DAMVAD Analytics, we have multiple SaaS products utilising machine learning algorithms for NLP and time series forecasting. I am personally involved in training and deploying our BERT models for extraction of competencies from Danish and Swedish job ads.

København, Capital Region, Denmark

As manager in Deloitte Risk Advisory, I was involved in recruitment and training of new data science consultants. I was also a part of a data science team at IKEA (Ingka) with focus on building a strategic simulation tool for new investments. This included time series forecasting and causal impact analysis with hierarchical Bayesian models.

København, Region Hovedstaden, Danmark

As a senior (data science) consultant at Deloitte Risk Advisory, I worked with fraud detection, anti money laundering (AML) and anti bribery and corruption (ABC) across different sectors including pharma, life science and consumer goods. I also headed a small data science team at IKEA (Ingka) working with retail fraud detection and prevention. Here we built a new algorithms and a frontend for addressing potential fraudulent behaviour. The algorithms were built in Python and deployed as serverless functions in Google Cloud Platform (GCP).

Copenhagen Area, Capital Region, Denmark

As a consultant in the Technology Consulting team at EY Advisory Services I worked with emerging technologies including Machine Learning, AI and Intelligent Automation.Project experience:Intelligent automation - I was part of both designing and implementing a complex automation project at a major danish retail client. The solution was a combination of RPA, database architecture and IBM Watson Explore to intelligently handle payment notices, reminders and other claims from the municipalities and the government. My primarily responsibilities was the database implementation and Watson development and integration.

Kgs. Lyngby

I worked in the IT department providing technical support of both hardware and software. I also provided phone support outside working hours, primarily concerning remote support and Microsoft Office.

Københavnsområdet, Danmark

Research project at the Department of Applied Mathematics and Computer Science regarding 3D source localization from EEG recordings using various machine learning methods and a Brain Computer Interface (BCI) setup.The project results were published in a conference article at ICASSP 2017.

As student supervisor I provided assistance and guidance for first year students through weekly meetings. Furthermore I participated in the planning and settlement of the freshman introduction week.

Master Of Science - Ms, Biomedical Engineering, A (12)

Bachelor Of Science - Bs, Biomedical Engineering, A (12)

High School, Biology, Mathematics And Physical Education