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  Data Scientist | AI & Big Data Engineer | Doctor-Engineer in Computer Science
  AI-Driven Data Solutions: Proven expertise in ML models, NLP, and knowledge graph analytics.
  Scalable Data Engineering: Hands-on experience with big data pipelines & distributed computing.
  Industry & Research Experience: Balanced academic research and practical AI applications.
  Mentorship & Leadership: Experienced in leading teams, mentoring students, and knowledge sharing.
  Strong Problem-Solving skills & Communication: Skilled in breaking down complex challenges, collaborating effectively, and driving data-driven solutions.
  Data Interpretation: Expertise in interpreting and analyzing complex datasets to extract meaningful insights and trends.
  Educator with strong foundation in academic teaching and research.


A software engineer with 6+ years of experience designing and deploying scalable, high-performance enterprise-grade solutions. Expertise in building and maintaining pivotal software systems with reliability and scalability in mind. Passionate about reducing operational burdens through automation, monitoring, and high availability architectures.


  Ms in data science specialised in ML, AI and Bigdata from Monash University, Melbourne
  9 years of Experience as Detail-oriented data Engineer/ Scientist who designs, develops and maintains highly scalable, secure and reliable data structures in Agile Environment.
  Accustomed to working closely with data architects, governance and Business analysts to understand business or industry requirements to develop Green fields project with comprehensive data models and Data Science Artifacts.


Bryan Tran

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Hackathon Judge

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Bachelor of Science - Computer Science

High School Diploma -

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Hackathon Judge

Vice President

Treasurer

Secretary

Bachelor of Science - Computer Science

High School Diploma -

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