Tim Bakkenes

Tim Bakkenes

Tennis Coach

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location of Tim BakkenesGreater Gothenburg Metropolitan Area

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  • Timeline

  • About me

    Student at Chalmers University of Technology

  • Education

    • Sigrid Rudebecks Gymnasium

      2018 - 2021
      Natural Sciences
    • Chalmers University of Technology

      2024 - 2026
      Master of Science - MS Data Science and AI
    • Tsinghua University

      2024 - 2025
      Exchange Semester Computer Science

      Courses:- Machine Learning- Big Data Intelligence- Introduction to Big Data Systems- Combinatorics and Algorithm Design- Elementary Chinese

    • Chalmers University of Technology

      2021 - 2026
      Master of Science - MS Industrial Engineering and Management
  • Experience

    • Brottkärrs Tennisförening

      Jan 2015 - Jul 2022
      Tennis Coach
    • Volvo Cars

      Jun 2023 - Sept 2023
      Data Strategy Intern

      Volvo Cars was on an exciting journey to implement a data mesh based data architecture. I had the opportunity to work as intern in the data platforms team. I mainly worked on data contracts to facilitate data exchange between parties in the company and reviewed usage of business intelligence platforms.Key achievements included:- Developed a cloud application to monitor business insight platforms usage that resulted in 50-60% license cost savings potential.- Designed an implementation proposal for Data Contracts and demonstrated feasibility by implementing a Proof of Concept of the full framework, guardrails and automatic data validation functionality. Show less

    • Chalmers University of Technology

      Aug 2023 - Oct 2023
      Teaching Assistant
    • GKN Aerospace

      Jan 2024 - Jul 2024

      Enabled business users with limited technical expertise to work with metadata by developing a user-friendly metadata management application.Leveraged a Neo4j graph database to create a knowledge graph of the metadata, making interactions with metadata more intuitive and allowing it to be visualised as an interactive graph in the application.Positioned the application for future integration with Large Language Models (LLMs) that can utilise the knowledge graph's interconnected data to improve their accuracy. This foundation enables LLMs to access metadata context, supporting functionalities like Retrieval-Augmented Generation (RAG) for enhanced LLM accuracy and improved decision making. Show less

      • Data & Analytics Intern

        Jun 2024 - Jul 2024
      • Software Engineering Intern

        Jan 2024 - May 2024
    • BCG Platinion

      Mar 2025 - now
      Visiting Associate
  • Licenses & Certifications