I hold an M.Sc. in Data Science from the University of Verona, Through the Erasmus program, I spent a transformative semester at the University of Oslo. Since April 2025, I have been a research intern with the Trustworthy Green IoT Group at SINTEF Digital in Norway. 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. My expertise spans analytics engineering and AI research, particularly in delivering intelligent monitoring and multi-agent systems for IoT and Digital Twins. I am proficient in LLM/agent frameworks, evaluation suites, CI/CD processes, and low-latency services.
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(Grade: A - 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
Sep 2025
- ›Advanced the SINDIT Digital Twin by extending its knowledge-graph schema and improving interoperability across sensor streams, asset metadata, and system ontologies.
- ›Developed a web-based interface for real-time visualization and interaction with the knowledge graph and digital twin state.
- ›Designed and built an LLM-enhanced multi-agent architecture enabling real-time monitoring, contextual retrieval, and explainable human-in-the-loop assistance on live factory data.
Knowledge GraphsNeo4jGraphDBSvelteKitd3.jsRAGLangChainLLMsMulti-Agent Systems
Apr 2022
Sep 2023
Sep 2023
- ›Promoted and held a dual role as Analytics Project Manager and Data Analyst in the 2nd year.
- ›Planned sprint resources, timelines, and schedules for the analytics section in internal program release.
- ›Led cross-functional teams to develop an A/B testing workflow for wearable devices and companion apps (experiment design, wireframes, rollout).
- ›Implemented metrics frameworks and dynamic dashboards to track KPIs and gain valuable insights into user behavior, device performance monitoring, and wellness data from wearable devices.
- ›Designed event tracking and data flows between IoT devices and apps.
- ›Developed an internal Tracking Event Management tools for Data Quality Monitoring and Self-service Analytics, which automates the generation of daily queries and implements result alerts.
BigQueryPythonLookerTableauAWSRedashGrafanaFirebaseIoTWearable DevicesProject Management
Aug 2021
Feb 2022
Feb 2022
- ›Performed statistical and analytical analyses, including correlation between app events, A/B testing, cohort analysis, and aha-moment identification in the music game.
- ›Built and maintained data pipelines with automated tests.
- ›Implemented and analyzed spectrograms of musical notes of another instrument.
- ›Trained and optimized TensorFlow Lite models for mobile inference.
BigQueryVertex AIAirflowdbtPythonMetabaseA/B Testing
Mar 2020
Aug 2021
Aug 2021
- ›Collaborated with Bosch Automotive Products on automated driving use cases and data quality.
- ›Analyzed software development logs and automotive radar data against QA/validation metrics for Advanced Driver Assistance Systems and Automotive Software Development Validation.
- ›Built and maintained analytics CI pipelines in Jenkins (automated jobs, scheduled reporting).
- ›Developed and operated data pipelines, databases, and dashboards for engineering stakeholders.
- ›Implemented automated database deployment and dashboard releases to validation workflows.
JenkinsSQLPythonPower BIDashCI/CDADASRadar