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(Updated 2023-03-29)Data Python ML Engineer
Stockholm, Sverige
Beginner English, Russian, German
- + 5 år Azure
- + 5 år Machine Learning
- + 5 årData
Skills (49)
Python
ROBOT
PREDICTIVE ANALYTICS
DATA SCIENCE
SHELL SCRIPTING
R Programming
VISIO
.NET Core
AUDITS
WINDOWS XP
OPERATIONS
MICROSOFT WINDOWS
STAFFING
FANUC
MICROSOFT WINDOWS SERVER 2008 R2
Business Intelligence
R Language
MRI
MS .NET
MICROSOFT WINDOWS 7
RASPBERRY PI
LOGISTICS MANAGEMENT
PCS
SERVICE DESK
X-RAY
LEXICON
AUDIT
Git
MICROSOFT WINDOWS SERVER 2012
AIR Conditioning
WINDOWS SERVER 2012
C#
JSON
LOGISTICS
MICROSOFT WINDOWS 8
WINDOWS VISTA
WINDOWS SERVER 2008
ROBOTICS
MICROSOFT WINDOWS XP
Recruitment
CARBON DIOXIDE
ORDER MANAGEMENT
API
EMC
Windows 10
AIR QUALITY
RETAIL
PowerShell
BI
Professional Experience
Developer ML Engineering
Bara Posten
2022-01 - Present
Bara Posten (formerly Ryska Posten) is a full-service company in logistics and fast couriers locally in Stockholm with a market offer for global logistics.
Mårten helped Bara Posten implement GPT-3, an AI transformer, to help automatically scan through incoming emails and automatically create order management for their logistics system.
In this way, AI streamlined to speed up the process and minimize workload for staff as well as human error.
One effect was also to help agents remove monotonous tasks and help Bara Posten to faster logistics management and productivity.
Python programming, Microsoft Graph API, transformers, GPT-3 Karolinska University Hospital - Developer ML Engineering Karolinska University Hospital is the second largest single hospital organization in Sweden with 16,000 employees.
At Karolinska, Mårten is carrying out an assignment to migrate an AI solution for magnetic X-ray images (MRI) from Microsoft's Azure to on-premise. If the configuration is a hybrid variant that leverages Azure Image Batch for image processing and the predictive analytics for the patient run on on-premises servers. The software is designed to find signs of dementia in patients by combining patient data with radiographs. In the project, Mårten works with Docker, Docker Compose and RabbitMQ. The development takes place with C# and Python.
C# programmering, RabbitMQ development and administration, Bitbucket, Docker, Docker Compose, .NET Core, Python-programmering
Mårten helped Bara Posten implement GPT-3, an AI transformer, to help automatically scan through incoming emails and automatically create order management for their logistics system.
In this way, AI streamlined to speed up the process and minimize workload for staff as well as human error.
One effect was also to help agents remove monotonous tasks and help Bara Posten to faster logistics management and productivity.
Python programming, Microsoft Graph API, transformers, GPT-3 Karolinska University Hospital - Developer ML Engineering Karolinska University Hospital is the second largest single hospital organization in Sweden with 16,000 employees.
At Karolinska, Mårten is carrying out an assignment to migrate an AI solution for magnetic X-ray images (MRI) from Microsoft's Azure to on-premise. If the configuration is a hybrid variant that leverages Azure Image Batch for image processing and the predictive analytics for the patient run on on-premises servers. The software is designed to find signs of dementia in patients by combining patient data with radiographs. In the project, Mårten works with Docker, Docker Compose and RabbitMQ. The development takes place with C# and Python.
C# programmering, RabbitMQ development and administration, Bitbucket, Docker, Docker Compose, .NET Core, Python-programmering
Microsoft
2022-01 - 2022-01
70-777 Implementing Microsoft Azure Cosmos DB Solutions
Developer and Data Scientist
Randstad
2021-03 - 2021-12
Randstad Sweden is an authorized staffing and recruitment company with 4900 employees.
For Randstad, Mårten helped predict when a co-worker might leave Randstad. Mårten has migrated the information from on-premise SQL database to Azure SQL. From there, Mårten, with the help of Azure Machine Learning Services, has used Automated ML to calculate whether an employee is at risk of leaving the company within six months. The Machine Learning model is then production-based with a RestApi.
Microsoft SQL Server 2012, Churn, REST API, Azure SQL, Data Science, Azure Machine Learning, Cloud AutoML, Classification, Microsoft Data Migration Assistant, Microsoft Azure Data Studio, Azure Container Instances
For Randstad, Mårten helped predict when a co-worker might leave Randstad. Mårten has migrated the information from on-premise SQL database to Azure SQL. From there, Mårten, with the help of Azure Machine Learning Services, has used Automated ML to calculate whether an employee is at risk of leaving the company within six months. The Machine Learning model is then production-based with a RestApi.
Microsoft SQL Server 2012, Churn, REST API, Azure SQL, Data Science, Azure Machine Learning, Cloud AutoML, Classification, Microsoft Data Migration Assistant, Microsoft Azure Data Studio, Azure Container Instances
Developer ML Engineer/Analyst
2021-08 - 2021-10
CM1 is a market-leading system for countering money laundering. CM1 is a service that contains tools and process support to be able to comply with the requirements of the Act on Measures against Money Laundering and Terrorist Financing. With the help of a variety of banks' data, Mårten has created models how money laundering transactions are recognized. The data stored in various on-premise SQL databases was classified as secure, therefore the data had to be anonymized before lifting to Azure. To then be processed using Machine Learning services in Azure. Once the data has been imported to the cloud, experiments are created using AutoML to find the best model for classification.
The model is then delivered to production systems through an API.
SQL, API management, Python-programmering, Azure Machine Learning
The model is then delivered to production systems through an API.
SQL, API management, Python-programmering, Azure Machine Learning
AI Developer
2021-01 - 2021-08
Akademikernas a-kassa is the unemployment fund that all academics who are working in Sweden can be part of 750,000 members are currently members.
With the Azure AI service Read, Mårten helped Akademikerna's unemployment insurance fund to extract information from paper documents. With this information, applications for unemployment benefit could be shortened significantly in the form of weeks. The service made it easier for end users to ensure that the forms were correctly filled in when applying to the unemployment insurance fund. The AI service that with OCR technology controls uploaded documents personal pages has since the start the introduction of the service handled about 30,000 documents. Of which about 8,000 pcs have fallen for the check on the wrong document.
Each document that enters the business systems and is incorrect requires a total of about 5-10 minutes in handling time by an agent. This has helped agents to dabble in more qualified tasks.
JSON, Postman, Swagger, Azure AI, Read API
With the Azure AI service Read, Mårten helped Akademikerna's unemployment insurance fund to extract information from paper documents. With this information, applications for unemployment benefit could be shortened significantly in the form of weeks. The service made it easier for end users to ensure that the forms were correctly filled in when applying to the unemployment insurance fund. The AI service that with OCR technology controls uploaded documents personal pages has since the start the introduction of the service handled about 30,000 documents. Of which about 8,000 pcs have fallen for the check on the wrong document.
Each document that enters the business systems and is incorrect requires a total of about 5-10 minutes in handling time by an agent. This has helped agents to dabble in more qualified tasks.
JSON, Postman, Swagger, Azure AI, Read API
Microsoft Corporation
2021-01 - 2021-01
AI-102 Designing and Implementing a Microsoft Azure AI Solution
AZ-220 Microsoft Azure IoT Developer
Arrow ECS Sweden AB
2021-01 - 2021-01
Developer/AI
Chatbot for a Company
2020-11 - 2021-01
Developed a Chatbot for a Company with 430 employees, to provide better service to the company's employees and to make it easier for 1-line support, to answer a wide range of different support questions.
The bot then made it easier for the service desk to automate away the simple cases and most repetitive tasks. Which consisted of about 40-50 tickets per day that allowed the agents at the service desk to work more with more qualified and developing tasks.
Microsoft Bot Framework, Microsoft QnA Maker, Power Virtual Agent, Teams Chatbot
The bot then made it easier for the service desk to automate away the simple cases and most repetitive tasks. Which consisted of about 40-50 tickets per day that allowed the agents at the service desk to work more with more qualified and developing tasks.
Microsoft Bot Framework, Microsoft QnA Maker, Power Virtual Agent, Teams Chatbot
Developer
PwC
2019-11 - 2020-03
Mårten helped PwC implement a Rest API in .NET Core. Which was used as a backend solution for a web platform where auditors could add and change timesheets as well as annual audits for various employees to update the forecast and current status of ongoing assignments. The API used Cosmos DB as a data source and implemented as a docker image from a microservice managed by Kubernetes and DevOps.
C# programming, PowerShell, Azure Devops, Cosmos DB, Rest API
C# programming, PowerShell, Azure Devops, Cosmos DB, Rest API
Lexicon
2020-01 - 2020-01
Developer
ICA
2019-03 - 2019-11
Mårten has been involved in building up a number of applications for the robot Pepper for ICA. Where expansion of several more advanced applications has begun to take shape. The purpose of the project has been to use Pepper as an assistant for ICA's Maxi stores. Where ICA's customers can get assistance on where goods are in the store. Food recipes and other promotions that the store currently has. Mårten leads the implementation of cognitive services such as chatbots' functions with Azure Bot Framework and Google's Dialogflow. Also, other AI services such as facial recognition using the Azure Face API and Azure IoT Edge.
Robot Operating System, Python programming, NAOqi, Pepper, DialogFlow, Azure AI
Robot Operating System, Python programming, NAOqi, Pepper, DialogFlow, Azure AI
Vattenfall - Cloud Architect
Vattenfall AB
2019-01 - 2019-03
is an energy company wholly owned by the Swedish state.
For the assignment to Vattenfall to the electricity distribution unit, Mårten helped to ensure requirements and architecture design in Visio. Based on the architecture, the construction of Vattenfall's Azure solution where services to third parties would be accessed began. Mårten was involved in implementing an App Service Environment that met Vattenfall's security requirements for a completely isolated environment for other operations that were classified. Which created the need for the migration of the services from the public part in the cloud to the isolated one.
Microsoft Azure, PowerShell, Azure App Service Environment, Microsoft Visio
For the assignment to Vattenfall to the electricity distribution unit, Mårten helped to ensure requirements and architecture design in Visio. Based on the architecture, the construction of Vattenfall's Azure solution where services to third parties would be accessed began. Mårten was involved in implementing an App Service Environment that met Vattenfall's security requirements for a completely isolated environment for other operations that were classified. Which created the need for the migration of the services from the public part in the cloud to the isolated one.
Microsoft Azure, PowerShell, Azure App Service Environment, Microsoft Visio
SoftBank Robotics
2019-01 - 2019-01
AI-100 Designing and Implementing an Azure AI Solution
Cornerstone
2019-01 - 2019-01
70-773 Analyzing Big Data with Microsoft R Cornerstone 2019 70-743 Upgrading your Skills to MCSA Windows Server 2016 70-475 Design and Implement Big Data Analytics Solutions Cornerstone 2019 70-774 Perform Cloud Data Science with Azure Machine Learning Cornerstone 2019 Cornerstone 2019 DP-100 Designing and Implementing a Data Science Solution on Azure
Developer
Delaval
2018-12 - 2019-01
DeLaval International AB is a Swedish company that has as it's focus for production and equipment for milk production.
For Delaval, Mårten developed a technical solution in the form of a POC IoT project that was designed according to the customer's requirements to optimize milk production in farms. The platform that Mårten set up was through Azure's IoT components. Then development was carried out for a technical demo of sensor values that reflected the customer's existing environment and showed a sustainable future vision for requirements to optimize production such as adding more food to the cattle.
Linux, PowerShell, Raspberry PI, Microsoft Azure IoT, Python programming, Azure IoT Hub, IoT programming
For Delaval, Mårten developed a technical solution in the form of a POC IoT project that was designed according to the customer's requirements to optimize milk production in farms. The platform that Mårten set up was through Azure's IoT components. Then development was carried out for a technical demo of sensor values that reflected the customer's existing environment and showed a sustainable future vision for requirements to optimize production such as adding more food to the cattle.
Linux, PowerShell, Raspberry PI, Microsoft Azure IoT, Python programming, Azure IoT Hub, IoT programming
developer
H&M Cloud and Automation
2018-06 - 2018-10
for DevOps H & M Hennes & Mauritz AB, abbreviated H&M, is a Swedish listed retail company in the clothing industry with 4745 stores.
Mårten was one of the main developers for H&M with their move from on-premise solutions to Azure for development purposes. Where Mårten has helped build automatic flows for configuration and set up of web services with DevOps support for Azure. Mårten was able to contribute more broad cloud experience for the development team that Mårten could facilitate with deep cloud knowledge. Which allowed the business to accelerate the move to the cloud for various development teams.
Git, Microsoft Azure, DevOps, PowerShell, Azure Devops
Mårten was one of the main developers for H&M with their move from on-premise solutions to Azure for development purposes. Where Mårten has helped build automatic flows for configuration and set up of web services with DevOps support for Azure. Mårten was able to contribute more broad cloud experience for the development team that Mårten could facilitate with deep cloud knowledge. Which allowed the business to accelerate the move to the cloud for various development teams.
Git, Microsoft Azure, DevOps, PowerShell, Azure Devops
BI Developer and Automation's developer
Trafikverket
2017-12 - 2018-06
For the Swedish Transport Administration's Business Intelligence, Mårten assumed a role as a BI Developer with a focus on automation. For the Swedish Transport Administration's renewal of its BI / Big Data environment. Mårten performed an automatic inventory of servers, services, databases, scripts, and packages. To be able to estimate future needs for a rapidly growing environment and be able to give a good overview of what the entire current environment consisted of. The assignment consisted of, among other things, migrating from SQL Servers to Machine Learning Server, building inventory scripts in Python and conducting development for internal requests in predictive analytics when resources might need to be expanded. In the assignment, both R and Python programming were used.
PowerShell, R programming, SQL Server 2016, Python programming, Windows server 2016, Sql Server R Services, Microsoft Machine Learning Server (on-premise)
PowerShell, R programming, SQL Server 2016, Python programming, Windows server 2016, Sql Server R Services, Microsoft Machine Learning Server (on-premise)
Data Scientist in IoT
JM AB
2016-02 - 2018-02
JM AB is a project developer, developer and construction contractor of homes and residential areas with 2200 employees.
Mårten worked on a pilot project for new smart buildings for measuring air quality. IoT devices took in sensor values of the carbon dioxide content which were then uploaded into Azure. Where predictive analysis later took place to pre-empt when air quality reached a subordinating level. To later apply measures in the form of increased air conditioning. As well as get to know through the digital assistant Cortana about different air content levels on different floors.
C# programming, Power BI, Stream Analytics, .NET Core, Microsoft Cortana Intelligence, Azure Machine Learning Studio, Azure IoT Hub, Cosmos DB, Sensordata, Windows 10 IoT Courses and certifications
Mårten worked on a pilot project for new smart buildings for measuring air quality. IoT devices took in sensor values of the carbon dioxide content which were then uploaded into Azure. Where predictive analysis later took place to pre-empt when air quality reached a subordinating level. To later apply measures in the form of increased air conditioning. As well as get to know through the digital assistant Cortana about different air content levels on different floors.
C# programming, Power BI, Stream Analytics, .NET Core, Microsoft Cortana Intelligence, Azure Machine Learning Studio, Azure IoT Hub, Cosmos DB, Sensordata, Windows 10 IoT Courses and certifications
Cornerstone
2017-01 - 2017-01
Cornerstone
2016-01 - 2016-01
70-697 Configuring Windows Devices Cornerstone 2016
Cornerstone
2015-01 - 2015-01
Cornerstone 2015 70-246 Monitoring and Operating a Private Cloud Cornerstone 2015 70-533 Implementing Microsoft Azure Infrastructure Solutions 70-532 Developing Microsoft Azure Solutions Cornerstone 2015 70-413 Designing and Implementing a Server Infrastructure Cornerstone 2015 70-534 Architecting Microsoft Azure Solutions Cornerstone 2015
Addskills Cornerstone Group AB
2015-01 - 2015-01
EMC Data Science Associate
EMCDSA
2015-01 - 2015-01
Cornerstone
2014-01 - 2014-01
70-680 Windows 7, Configuring Cornerstone 2014 Managing SCCM with Powershell Cornerstone 2014 70-410 Installing and Configuring Windows Server 2012 Cornerstone 2014 70-688 Supporting Windows 8.1 70-411 Administering Windows Server 2012 Cornerstone 2014 Cornerstone 2014
Addskills Cornerstone Group
2014-01 - 2014-01
PRO
2014-01 - 2014-01
Windows 7, Enterprise Desktop Administrator
Configuration Manager
CGI Deploy
2013-01 - 2013-01
configure and provision with the help of Powershell to SCCM.
2013 70-243 Administering and Deploying System Center 2012 Configuration Manager Cornerstone 2013
2013 70-243 Administering and Deploying System Center 2012 Configuration Manager Cornerstone 2013
Academic Background
Social Studies (Gymnasium)
Social Studies (Gymnasium)
2007-01 - 2008-01
Certifications
DP-420 Microsoft Certified Azure Cosmos DB Developer Specialty
Microsoft Certified
Acclaim
MCSA