Who is Marcus Svensson? Overview
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Marcus Svensson is listed as AI at Grasp, based in Stockholm, Stockholm County, Sweden. AeroLeads shows a work email signal at babyshop.com and a matched LinkedIn profile for Marcus Svensson.
Marcus Svensson previously worked as AI Engineer at Grasp and Senior Consultant at Netlight. Marcus Svensson holds Master'S Degree, Engineering Mathematics And Computational Science from Chalmers University Of Technology.
Email format at Grasp
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About Marcus Svensson
I’m a strong believer in that one of the key differentiators, in a hyper-competitive market, is how we leverage data & AI in increasingly smarter ways. Putting a strong emphasis on MLOps as well as software development best practices, we can make sure to keep the rate of innovation high, to secure both short term as well as long term value creation.
Listed skills include Microsoft Excel, Project Management, English, Sales, and 12 others.
Marcus Svensson's current company
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Marcus Svensson work experience
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Ai Engineer
Senior Consultant
Consultant
Head Of Data
Leading the data team (5 people) at a global omnichannel retailer with €100m+ turnover. We leverage data across all stages of analytics, from descriptive to predictive to prescriptive, in order to create value across the whole organisation. Responsible for everything data; vendor agreements, data pipelines, DWH-structure, analytics, BI-layer, ML and MLOps, as well as recruiting and mentoring the team.Working cross-functionally with both the engineering team and business stakeholders, we make sure to deliver high impact production-ready data products, weather it being BI-dashboards or ML-solutions. Putting a strong emphasis on making sure we have high-quality data, together with ML-Ops and software development best practices, we can make sure to keep the rate of innovation high, to secure both short term as well as long term value creation.
Head Of Data Science
Led the data science team (3 people). Use-cases for in-house ML-based solutions involved; customer insights & segmentation, CLV-predictions, attribution modelling, recommender systems, search & ranking, demand predictions as well as intelligent pricing. The underlying tech-stack and infrastructure for the above use-cases must support a customer base in the millions, as well as a product catalog of 100k+ SKU's. In order to support such a wide range of large scale use-cases, the underlying tech-stack and infrastructure used was a combination of Kubernetes & Serverless hosted on GCP, with emphasis on containerisation. More specifically a combination of Kubeflow Pipelines (ML-pipelines running on Kubernetes), Cloud Run (serverless REST API’s), Cloud Functions (serverless jobs) as well as Vertex AI (distributed hyper-parameter tuning). The data underlying of it all lived in Snowflake, using a ELT approach, leveraging Fivetran & dbt.
Data Scientist
Enhancing customer experience by leveraging ML to increase personalisation. Daily tasks involved designing, developing and maintaining the end-to-end ML-pipelines for various recommender systems (on-site & in-email) as well as learning-to-rank (search & product listings).
Data Scientist
Analyzing Blood Glucose Changes - A multi-state Markov model was developed in order to model glycemic control in diabetic patients, based on continuous glucose measurements. Contributed as a part of a larger research project, with the end goal of assisting patients with improving their glycemic control.
Data Scientist
I worked as a data scientist at Centiro Solutions, alongside their R&D team, developing Centiros' data handling capabilities enabling analytics. The experience working closely with the data infrastructure made me realize the value of high quality data. In order to achieve this I helped develop a data pipeline using Apache Beam, Kotlin and Google Cloud Platform's different services such as Dataflow, BigQuery, Storage and PubSub. This pipeline then parsed, mapped, stored and analyzed the data. This with the underlying understanding that data is valuable and we need to use this to our advantage.
Operations Planner
Worked within the division of operations planning and control. Work included planning of goods, correspondence with suppliers as well as transporters and purchasing of goods worth millions of SEK daily.
Technology Consultant
Worked part time as a consultant within the business development department. Work in-cluded conducting projects, customer interaction, and internal development of the company.
Marcus Svensson education
Master'S Degree, Engineering Mathematics And Computational Science
Bachelor'S Degree, Mechanical Engineering
Bachelor Of Business Administration - Bba, Business And Economics
Frequently asked questions about Marcus Svensson
Quick answers generated from the profile data available on this page.
What company does Marcus Svensson work for?
Marcus Svensson works for Grasp.
What is Marcus Svensson's role at Grasp?
Marcus Svensson is listed as AI at Grasp.
What is Marcus Svensson's email address?
AeroLeads has found 1 work email signal at @babyshop.com for Marcus Svensson at Grasp.
Where is Marcus Svensson based?
Marcus Svensson is based in Stockholm, Stockholm County, Sweden while working with Grasp.
What companies has Marcus Svensson worked for?
Marcus Svensson has worked for Grasp, Netlight, Babyshop Group, Astrazeneca, and Centiro Solutions.
How can I contact Marcus Svensson?
You can use AeroLeads to view verified contact signals for Marcus Svensson at Grasp, including work email, phone, and LinkedIn data when available.
What schools did Marcus Svensson attend?
Marcus Svensson holds Master'S Degree, Engineering Mathematics And Computational Science from Chalmers University Of Technology.
What skills is Marcus Svensson known for?
Marcus Svensson is listed with skills including Microsoft Excel, Project Management, English, Sales, Matlab, Latex, Microsoft Powerpoint, and Microsoft Power Bi.
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