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Ron Lo

Ron Lo

AI Engineer

Services provided: CSS , JavaScript Developers , HTML5 , Database Services , Front-end Web , CSS / JavaScript , keras , HTML , BigQuery , API , Data Mining , Machine Learning Engineers , Python , GitHub , Data Engineers , Power BI , Data Warehouse , AI Engineers , JavaScript , Computer Vision , HTML Developers , Web Development , CSS3 , Data Modeling Experts , Data Engineering , Visual Studio , NumPy , Data Analytics , Data Engineer , Data Scientists , Machine Learning , Data Science & Analytics , TensorFlow , Git , Database Developers , Pytorch , JSON , GraphQL , Data Processing , Google Maps , HTML5 Developers , Back-end Developers , Web Developers , Data science , Full Stack Python , Pandas , REST API , Data Modeling Analysts , Neo4j , Data analysis , Data Migration Engineers , Python Developers , Fullstack , CSS Developers

Liverpool, Liverpool
£50 / hour
Approximate rate

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About Ron Lo:

I am a motivated graduate with a First Class in my Master’s in Data Science and AI, backed by successful years of Business Management experience and Project Management Professional (PMP) credentials. “Conscientious and intelligently professional” as described by my former employer. My Hong Kong exposure has ingrained in me a highly efficient, results-oriented work ethic. I offer contractual and freelance service in data science or AI. I am also available for  software, web or API development job

Experience

Academics:

  • Programming:
  1. Completed 7 diverse projects like Object Oriented programming, full-stack web development, employing languages like Python, JavaScript, MySQL.
  2. Renowned for clean, efficient code and good documentation
  • Data Mining and AI Application:
  1. Exhibited through 7 projects by applying supervised Machine Learning such as SVM, KNN, Random Forest, and Deep Learning like CNN and UNet, as well as unsupervised data clustering techniques. Gained proficiency in tools like PyTorch, Scikit-learn, achieving a standout 95% accuracy and 66% mIoU in a computer vision project

Projects: 

Prioritising Disease Genes Through Machine Learning

  • Developed a predictive model for human gene-disease associations, overcoming challenges in voluminous, high-dimensional and noisy biological data through proficient data manipulation. The final model exceled 34% better than a baseline model.
  • Utilised advanced techniques like graph network embedding and semi-supervised learning, demonstrating autonomy in acquisition and application of state-of-art methods.
  • Translated the complicated project to audience without technical background.

Education

MSc Data Science and Artificial Intelligence (First Class), University of Liverpool
 

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