Søren Johansen

Søren Johansen Email and Phone Number

AI Technical Architect SAP @ SAP
germany
Søren Johansen's Location
Copenhagen, Capital Region of Denmark, Denmark, Denmark
Søren Johansen's Contact Details

Søren Johansen personal email

n/a
About Søren Johansen

Søren Johansen is a AI Technical Architect SAP at SAP. They possess expertise in sas, data mining, risk management, r, spss and 9 more skills.

Søren Johansen's Current Company Details
SAP

Sap

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AI Technical Architect SAP
germany
Website:
sap.com
Employees:
114326
Søren Johansen Work Experience Details
  • Sap
    Technical Architect Ai
    Sap Mar 2024 - Present
    Copenhagen, Capital Region, Denmark
  • Valcon
    Senior Principal Consultant
    Valcon Sep 2023 - Mar 2024
    Copenhagen, Capital Region, Denmark
    Data capability team
  • C3 Ai
    Senior Solution Leader
    C3 Ai Aug 2021 - Sep 2023
    Capital Region, Denmark
  • Microsoft
    Cloud Solution Architect Data & Ai
    Microsoft Aug 2019 - Aug 2021
    Copenhagen Area, Denmark
  • Microsoft
    Technology Solutions Professional Advanced Analytics And Ai Denmark.
    Microsoft Dec 2017 - Aug 2019
    Copenhagen Area, Capital Region, Denmark
    Using python nlp packages spaCy, textacy and fasttext for text mining on electronic patient recordsThe last year I have spend a lot of time with Deep Learning particular Keras. Experience with jetson tx2 and opencv (including contribution packages). Jetson tx2 implementing YOLO (You only look once) model. Object tracking opencv on Raspberry PI with Intel Movidius (Deep learning acceleration). Defined a Deep learning model for power plant performance optimization (Keras). Next step is to use reinforcement learning to see if we can improve performance (mse). POC Identification of text on engineering drawings (CAD/CAM). I build a python script that used opencv(preprocessing) and Azure Cognitive Services OCR. Databricks. Running hackathons for Data Science teams to use Databricks for Data Science colloboration and as last -resort to do machine learning on big data. Azure Machine Learning Services(AMLS) is python package that can orchestrate Azure Storage and Compute context (Spark, GPU). Hackathons cover the entire Model DevOps wheel from data to model deployment (Docker & Kubernetes). Model Monitoring. Deep learning model for identification of faces and number plates used BatchAI to do inference on many a large set of images. Azure Machine Learning Services was used to define a GPU compute context in Azure. Microsoft Machine Learning and Data Science Conference 2016 (Internal). Accepted Paper "Spatial Statistics".Deep Learning Institute. Certified trainer 2017.
  • Microsoft
    Global Black Belt Advanced Analytics And Ai
    Microsoft Dec 2015 - Dec 2017
    Global Black Belt Technology Solutions Professional Advanced Analytics:Focus areas: Microsoft R Server(Scalable R functions) & HDInsight Spark. Many Models scenarios. Microsoft Deep Learning framework CNTK. Solving technical questions(R Server) and liase with Product Management and peers. Labs & Tutorials on Microsoft R Server and Azure Advanced Analytics (Machine Learning, HDInsight and Power BI) for partners and customers.Workshops on Deep Learning (Microsoft CNTK & Tensorflow, Caffe). Microsoft Data Science Tools(IDE): Visual Studio with R Tools & SQL Server.Hackatons & POCs: Insurance Fraud, Energy Forecasting & Many Models. Use of Azure Advanced Analytics (ML Azure + HDInsight + PowerBI).Parallelization alternatives in R: foreach, rxExec on Spark. Presentations at conferences on Advanced Analytics and Deep Learning. Supporting Product Managers visits in the Nordics: Datalake, R Server & Cortana Intelligence Suite.
  • Sas
    Business Advisor Coe Enterprise Analytics
    Sas Feb 2014 - Dec 2015
    Nordic
    My main focus is to use advanced statistical and data mining techniques to solve business challenges such as: • Airline analytics• Churn• Cross sell/up sell• Loyality card data • Fraud detection• Sensor Data and Classical Insurance Pricing• Forecasting of magazine inventory levelDiscussions with customers on Big Data and how external data can be used to enhanced predictive models.Analytics with Hadoop:- Hortonworks sandbox- Cloudera LiveExplaining how the added-value of predictive analytics is when the models get integrated in customer facing systems in relationship to the holistic concept Decision Factory.
  • Sas Institute
    Business Advisor Risk Intelligence
    Sas Institute Apr 2012 - 2014
    Nordics
    Currently my main areas of focus is: • Solvency 2 assessments (gap analysis)• Insurance pricing(with GLM)• P&C reserving• Model lifecycle managementSpecial interests:• Statistical and data mining software• Model factory development• Visualization of data • Realtime scoring • Decision Management• Big data (and how to use external data to enhance prediction power)
  • Ibm
    Spss Predictive Analytics Solutions Architect
    Ibm Aug 2010 - Apr 2012
    My main focus was to use advanced statistical and data mining techniques to solve business challenges such as: • Churn• Cross sell/up sell• Loyality card data • Fraud detection• Pricing decisions• Forecasting of magazine inventory levelDiscussions with customers on Big Data and how external data can be used to enhanced predictive models was also part of the workshops. Explaining how the added-value of predictive analytics is when the models get integrated in customer facing systems.
  • Sas Institute
    Business Advisory Risk
    Sas Institute Mar 2006 - Aug 2010
    Project managementIAS 39 Impariment loss chargeIAS 39 Hedge effectivenessFair value of options Business Intelligence for actuarial departmentsEnergy Risk
  • I2 Technologies
    Senior Presales
    I2 Technologies 1998 - Apr 2001
  • Pricewaterhousecoopers
    Consultant
    Pricewaterhousecoopers 1996 - 1997

Søren Johansen Skills

Sas Data Mining Risk Management R Spss Predictive Analytics Predictive Modeling Financial Risk Solvency Ii Business Analytics Big Data Analytics Forecasting Business Intelligence

Frequently Asked Questions about Søren Johansen

What company does Søren Johansen work for?

Søren Johansen works for Sap

What is Søren Johansen's role at the current company?

Søren Johansen's current role is AI Technical Architect SAP.

What is Søren Johansen's email address?

Søren Johansen's email address is so****@****pwc.com

What skills is Søren Johansen known for?

Søren Johansen has skills like Sas, Data Mining, Risk Management, R, Spss, Predictive Analytics, Predictive Modeling, Financial Risk, Solvency Ii, Business Analytics, Big Data, Analytics.

Who are Søren Johansen's colleagues?

Søren Johansen's colleagues are Kristin Teigen, Yixiao Song, Eric Sylke, Jyothi Jyo, Sean Yang, Huy Nguyen, Amani Hajj Ali.

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    Head Of Public Affairs At Telenor Danmark, Chairman Of The Board At Teleindustrien (The Telecommunications Industry Association Denmark)
    Køge
    2
    gmail.com, telenor.com

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