I am a skilled data scientist with expertise in statistical modelling with R, machine learning with Python, web app development, SQL and NoSQL database management. I am passionate about researching and applying data science in the Bioengineering and Biomedical domains through developing machine learning algorithms and biostatistical models in a responsible and ethical manner.

🔭 Actively looking for data scientist & bioinformatician positions in Australia 🇦🇺

💬 Get to know me: https://www.danielpham.com.au/

😄 Pronouns: He/him

🥇 My best public work so far: A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development

• Data Science Web Application Development [R Shiny | Docker]
• Interactive Data Visualisation [Plotly]
• Data Wrangling [pandas | tidyverse]
• Machine Learning [scikit-learn | tensorflow]
• Database Design and Migration [SQL | MongoDB | SQLite]
• Applied Statistics [Linear Models | GLMs | Bayesian Inference]
• Web Design [Wordpress | React | NodeJS]