My name is Nirupama and I'm a Data Scientist based in Vancouver, Canada 🇨🇦

I currently work as a data scientist for the Provincial Health Services Authority. I am very enthuasiastic about developing scalable statistical and machine learning models in public health, and would love to explore different domains such as gaming, finance, and cybersecurity.👩🏻‍💻 I completed a Master's degree in Statistics at the University of British Columbia.

• I'm currently working on developing and learning about more Graph Neural Networks particularly GraphSAGE 📚
• I love playing tennis 🎾 and working on art 🎨
• You can contact me at my email: [email protected]

• MSc_criskcasebase: R package developed during my MSc. thesis to fit an elastic-net multinomial model using stochastic variance reduced gradient descent (SVRGD) to predict survival with competing risks diseases (contains the fitting and custom cross-validation function written for this model)
• kaggle_arules: A shiny dashboard showing the results of the 2017 Kaggle Data Science and Machine Learning survey using association rule learning to discover common relationships between survey answers.
• arctic_trees: Using a Bayesian Treed Gaussian Process to successfully predict the velocity of ice melt with a comparison to other commonly used tree-based ensemble methods (e.g. Random Forest)

• dixit-prompts: A fun project I am working on in my personal time to gain experience with multimodal models to generate creative prompts for the card game Dixit from abstract illustrations

• Working with new methods: including Graph Neural Networks, diffusion models and multimodal models (image + text) 📈