Hi! I'm Harry, welcome to my portfolio website!

"It's not about what people think, it's how you feel inside.
My biggest failures in life are knowing I never tried."
NF

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Portfolio

As a professional Data Analyst/Data Scientist with a PhD from The University of Melbourne, I bring a wealth of experience in data mining, machine learning, and AI, honed through research and practical application in the construction and energy efficiency sectors. I have a proven track record of transforming complex data into actionable insights, as demonstrated by my successful projects such as predicting house energy ratings with 90% accuracy, detecting unsafe behaviours in construction sites using deep learning models, and leveraging spatial analysis techniques to provide key insights into Australian bushfire patterns. My technical proficiency spans Python, SQL, MATLAB, R, HTML, JavaScript, and various data analysis tools and machine learning libraries. I am eager to leverage my expertise to drive data-driven decision making and contribute to meaningful business insights.

About Me

Hello, I'm Harry Bui. I am a passionate and dedicated professional who believes in the power of data to drive decision-making and innovation. My journey into data science was fueled by a curiosity to uncover hidden patterns and a desire to turn data into actionable insights. Outside of my professional life, I am an avid learner, always seeking to stay updated with the latest trends and technologies in the field of data science. I am also a firm believer in the importance of work-life balance and enjoy spending my free time exploring nature, reading, and practicing mindfulness. I bring to my work not just my skills and experience, but also a positive attitude, a problem-solving mindset, and a commitment to continuous learning and improvement.

Technical Skills

  • Database/Server: My SQL, SQL server, Google Cloud Platform.
  • Programming Language: Python, SQL, MATLAB, R, HTML, JavaScript.
  • Data Analysis Tools: Tableau, Power BI, SPSS.
  • Machine Learning Libraries: TensorFlow, Scikit-learn.
  • Notebook Environments: Jupyter Notebook, Google Colab.
  • Integrated Development Environments (IDEs): Visual Studio Code, PyCharm.

    • Certifications

    The Complete Data Science Bootcamp

  • Comprehensive training in Python programming, data analysis, and machine learning.
  • Emphasis on real-world application and understanding the math behind machine learning.

    • Google Data Analytics Professional Certificate

  • Hands-on training in data cleaning, analysis, and visualisation with tools like SQL, R, and Tableau.
  • Professional-level training from Google, preparing for roles in data analytics with portfolio-ready projects.

    • Google Advanced Data Analytics Professional Certificate

  • Advanced training in data visualisation, statistical analysis, machine learning, and communication of data insights.
  • Professional training from Google, equipping with in-demand skills for roles like senior data analyst and junior data scientist.

    • SQL Essential Training

  • Foundational understanding of databases and SQL, focusing on data retrieval and effective query syntax.
  • Advancement of skills in data analysis or application development.