m ai.

I hold an M.Sc. in Data Science from the University of Verona, with international experience through an Erasmus exchange at the University of Oslo and a six-month research internship at SINTEF Digital. At SINTEF, I contributed to the design and implementation of multi-agent architectures for manufacturing Digital Twin systems. Previously, I spent four years working as a Data Analyst/Engineer in Vietnam on large-scale IoT products, including ADAS radar systems at Bosch and WearOS smartwatch platforms at Fossil Group. I have hands-on experience with analytics engineering, BI tools, CI/CD pipelines, and cloud deployment on GCP and AWS.

Education

2023-2025
M.Sc. in Data ScienceUniversity of Verona(CGPA 108/110)
2024-2025
Erasmus ProgramUniversity of Oslo
2017-2021
B.Sc. in MathematicsUniversity of Science, VNUHCM(CGPA 8.02/10 - Thesis Grade: 9.5/10)
2016-2020
B.B.A. in Business AdministrationHo Chi Minh City Open University(CGPA 3.40/4.0 - Ranked 4th overall)

Work Experience

Apr 2025
Sep 2025
Knowledge GraphsNeo4jGraphDB
Apr 2022
Sep 2023
BigQueryPythonLooker
Aug 2021
Feb 2022
BigQueryVertex AIAirflow
Mar 2020
Aug 2021
JenkinsSQLPython

Publications

  • 01

    Multi-agent generative AI on digital twins: A learning feedback loop framework for monitoring and explainability

    Proceedings of the 17th International Conference on Management of Digital Ecosystems (MEDES 2025)

    Tieu, M. K. and Nguyen, P. H. and Lam, A. N. and Sen, S.

    2025conference
  • 02

    A data space-driven approach for interoperability in federated digital twins

    Proceedings of the 17th International Conference on Management of Digital Ecosystems (MEDES 2025)

    Lam, A. N. and Svaland, G. B. and Hoffmann, V. and Tieu, M. K. and Elvesaeter, B. and Ma, X. and Roman, D. and Nguyen, P. H.

    2025conference
  • 03

    Stock-Price Forecasting Based on XGBoost and LSTM

    Computer Systems Science and Engineering

    Vuong, P. H. and Dat, T. T. and Tieu, M. K. and Uyen, P. H. and Bao, P. T.

    2022journal
  • 04

    STL Decomposition-Based Stock Price Forecasting Using LSTM Model

    Journal of Data Science and Artificial Intelligence

    Tieu, M. K. and Pham, H. V. and Vu, N. T. and Nguyen, P. T. H.

    2022journal

Projects

2023 - present

Personal Blog

Beyond my professional work, I am dedicated to building and sharing knowledge with communities through my website, where I showcase my projects, ideas, and resources. In total, my website has over 10k+ views and 3.5k+ active users, with a series about Data Warehouse attracting 1.5k+ users and Study with Me notes having over 500 users.

Next.jsTypeScriptTailwind CSSMDX
2024

mapme - a dedicated initiatives, and organizations to shape sustainable solutions

I've been contributing to Mapme as a data scientist, where I develop knowledge-driven maps that integrate satellite data, infrastructure maps, and local insights to promote sustainable development and enhance climate resilience in the Mekong Delta.

Google Earth EnginePythonGeospatial Analysis
2022

DATAcracy Program - empowering next generation of data scientists in Vietnam

Through this program, I presented a data visualization workshop while simultaneously raising awareness among the public in Vietnam by focusing on data-driven innovations and their applications.

TableauData Visualization

Awards

  • 2023
    Scholarship for Women in STEMUniversity of Verona
  • 2022
    Mathematical Contest in ModelingThe Consortium for Mathematics and its Applications (COMAP)
  • 2021
    Top National Students AwardMinistry of Education and Training of Vietnam
  • 2021
    Second Runner-upGreenovator Hackathon (Bosch Vietnam)
  • 2020
    Scholarship National Program for the Development of MathematicsVIASM
  • 2019
    Third PrizeBusiness Intelligence Competition
  • 2019
    Second Prize for Scientific Research AwardHo Chi Minh City Open University
  • 2018
    Third Prize for Scientific Research AwardHo Chi Minh City Open University
  • 2016
    Merit-based ScholarshipsHo Chi Minh City Open University