Nikolaj Juul Madsen

Nikolaj Juul Madsen

Research statistician

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location of Nikolaj Juul MadsenHorsens, Central Denmark Region, Denmark

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  • Timeline

  • About me

    AI • Data Science • MLOps

  • Education

    • Juelsminde skole

      1998 - 2008
    • Aarhus Universitet

      2016 - 2018
      Kandidatgrad Statistics

      Specialization in statistical analysis, data processing and -visualization with special focus on machine learning and statistical programming. Key learnings:• Highly skilled programmer in R, Python and Matlab.• Experienced data analyst using large-scale optimization, time series, predictive- and cluster analysis to process big data.• Experience with neural networks and TensorFlow (Python).• Experience with simulations, e.g. risk analysis and assessment from simulations.

    • Learnmark Horsens

      2008 - 2011
      HHX Mathematics A and Business economics A Ungdomsuddannelse, Gymnasium

      Activities and Societies: Debatgruppe: Talentfulde studerende med forældre uden gymnasial baggrund. Fundamental education in national- and business economics. Key learnings: • Fundamental mathematical understanding. • Fundamental economical understanding. • Fundamental understanding of marketing and business strategy.

    • Aarhus Universitet

      2013 - 2016
      Bachelorgrad Mathematical Statistics and Probability

      Higher education in theoretical and applied mathematics and statistics. Key learnings: • Solution-oriented mathematical and analytical mindset.• Knowledge of statistical models and analyses, e.g. regression analysis.• Probability theory. • Bioinformatics, e.g. DNA sequencing and coalescent theory.

    • Aarhus BSS - Aarhus University

      2011 - 2012
      Bachelorgrad Economics and Business Administration

      First year of the study programme Economics and Business Administration. Key learnings: • Basic financial accounting and analysis of key indicators in the annual financial reports. • Basic understandment of business strategies, marketing and organisation theory. • Basic knowledge of micro- and macro economics.

  • Experience

    • Psykiatrien in Region Midtjylland

      Dec 2015 - Jul 2018
      Research statistician

      Statistical analyst on biometric data for various research projects in the Department for Affective Disorders Q. I participated in project planning with study designs and advice on data collection alongside being responsible for doing data extraction, cleaning and data analysis including documenting the whole process to be included in papers. Search words: R, STATA, Data Storytelling, Statistics, A/B Testing.

    • Aarhus University

      Oct 2017 - Dec 2017
      Teaching assistent

      Assistant to associate professor in the course Survival Analysis. I was responsible for classroom teaching sessions on theoretical exercises in the course. Another important focus was on SAS analytics software. Search words: Statistics, Mathematics, SAS

    • Freelance

      Jan 2019 - now
      Biostatistics Consultant

      For the last couple of years I have occasionally been helping out researchers with their research projects/papers by delivering plug-n-play biostatistical results. This has typically included tables with descriptive statistics and statistical test results, visuals and a written description of the methods applied for methods sections in any paper.Most projects have been using data collected in RedCap and programmed entirely in R (which is in the delivery as well). Search words: R, Statistical Analysis, Statistical Testing, Visuals, STATA, RedCap, Biostatistics Show less

    • Alexandra Instituttet

      Jan 2019 - Sept 2019
      Data Science Specialist

      Key part of a consultancy team on data-driven machine learning services. I was the primary developer of a POC recommender system combining visual computing elements (CNN) with traditional recommender engines for a small company in the fashion industry. Also I developed a POC for a small APP-based company. Additionally I took part in projects focusing on natural language processing (NLP), predictive maintenance on high voltage lines and automatization of CSR reporting.Search words: Visual Computing, Keras, Tensorflow, PyTorch, Artificial Intelligence, Supervised Learning, Data Storytelling, git, bash, Python, R, Churn Prediction, Flask, Data Engineering, Personalisation & Recommendation Systems, Transfer Learning, Convolution Neural Network, MongoDB, Data Analysis, Data Model, Explainable Artificial Intelligence, API, XAI Show less

    • MHI Vestas Offshore Wind

      Sept 2019 - Oct 2020
      Data Scientist & Analyst

      I was part of a team focused on developing data models for wind turbines. The focus and main KPI was to increase availability to increase profitability for the whole value chain. I developed a variety of data models including integration of these into the backend of a large wind turbine monitoring system.Additionally I played a key part in blade load simulations for larger platform designs. On top I was involved in what-if analyses on contractual availability and the business impact. Search words: Predictive Maintenance, Outlier Detection, Supervised Learning, Unsupervised Learning, Clustering, Data Storytelling, Microsoft Azure, Azure Blob Storage, Power BI, R, SQL Server, SQL, Azure DevOps, Azure Machine Learning, Data Engineering, Cloud Development, Classification, Data Analysis, Data Model, Data Science, Azure Databricks, Apache Spark, git, KPI, Scenario simulation, What-If-Anlysis, API. Show less

    • Valtech

      Oct 2020 - Apr 2023

      In my previous position as a data science consultant I was largely focusing on activating client web analytics data in combination with business operational data (e.g. from CRM-, ERP- or other systems) to improve customer experiences and increase commercial value of a website or digital product. More often than not in close dialogue with key stakeholders. I have been working with very different clients all with individual needs for their cloud hosted solutions. Projects have ranged from building reliable business insights reports on CRM data to developing a simple proof of concept personalisation & recommendation system or even fully functional data pipeline with forecasting models with proper performance monitoring. Search words: Forecasting, Facebook Prophet, Python, Microsoft Azure, Azure Databricks, Azure Machine Learning, Azure Data Lake, Google Cloud Platform, Google AI Platform, Adobe Experience Platform, Power BI, BigQuery, Adobe Analytics, Google Analytics, Data Storytelling, Azure Data Lake, Clustering, Personalisation & Recommendation, Customer Segmentation, Data Engineering, Cloud Development. Show less

      • Senior Data Scientist & Practice Lead

        Jan 2023 - Apr 2023
      • Senior Data Scientist

        Jan 2022 - Dec 2022
      • Data Science Consultant

        Oct 2020 - Dec 2021
    • Twoday Data & AI

      Mar 2023 - Sept 2024
      Senior Data Scientist

      As a Data Scientist at Twoday Kapacity, I leverage my consultancy mindset and expertise in data science and cloud platforms to build end-to-end data applications that enable clients in their data-driven decision-making. My key responsibilities include:* Identify business use cases: I help clients identify business relevant AI use cases and do feasibility analyses to identify the potential. * Communication & Presentation: During any project communicating progress, project scope or the final results is essential. This is a key part of my work. * Machine Learning Engineering & Data Science: I develop predictive models and machine learning algorithms in Python to solve business cases with end-to-end deployment in Azure Cloud taking advantage of multiple Cloud resources. * DevOps & MLOps: I set up Deployment pipelines to control CI/CD including IaC templates for robust resource management. * Consultancy: Together with the client’s own expert knowledge of their business I adapt to each individual client’s challenges and bring my own expertise within AI applications to the table.* Cross-functional Collaboration: I collaborate with cross-functional teams, including business experts and product managers, to integrate data-driven solutions into the clients products and services. * Continuous Learning: I stay up-to-date with the latest developments in the field of AI through online courses and attending conferences, ensuring our team remains at the forefront of industry trends. Show less

    • The LEGO Group

      Sept 2024 - now
      Senior Data Scientist / Machine Learning Engineer
  • Licenses & Certifications

    • Microsoft Certified: Azure Data Scientist Associate

      Microsoft
      Jan 2023
      View certificate certificate