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neelsoumya/README.md

Hello! πŸ‘‹

My name is Soumya Banerjee (first name pronounced as show-mo) and I am a senior research fellow and affiliated lecturer at the University of Cambridge.

I analyze complex problems and implement new statistical and machine learning techniques for deriving insights from large amounts of data.

I work at the intersection of complex systems and explainable Artificial Intelligence.

I have worked in the experimental sciences, clinical, financial and healthcare domains. I have also worked in industry and was domain certified in finance and mortgage.

Packages

R packages I have written

https://github.com/neelsoumya/dsSurvival

https://github.com/neelsoumya/dsSurvivalClient

https://neelsoumya.github.io/dsSurvivalbookdown/

Other minor packages I have modified/contributed to from other resources/open source repositories (credit goes to the original authors)

https://github.com/neelsoumya/dsMiscellaneous

https://github.com/neelsoumya/rlib

https://github.com/neelsoumya/dsSyntheticClient

https://github.com/neelsoumya/dsSynthetic-1

https://github.com/neelsoumya/meditator

https://github.com/neelsoumya/ShinyDataSHIELD

Software

https://sites.google.com/site/neelsoumya/software

https://resume.github.io/?neelsoumya

Software created by my students

https://github.com/neelsoumya/complex_stories_explanations

https://github.com/neelsoumya/patient_stratification_explainable_AI

https://github.com/mxbi/arckit

Graphical user interfaces

https://sb2333medschl.shinyapps.io/meditator/

https://sb2333medschl.shinyapps.io/cosmic_loneliness/

https://neelsoumya.shinyapps.io/accident_prediction/

Miscellaneous

Website

https://sites.google.com/site/neelsoumya

Patreon

https://www.patreon.com/soumyabanerjee

Become a Patron!<script async src="https://c6.patreon.com/becomePatronButton.bundle.js"></script>

Youtube channel

https://www.youtube.com/channel/UCaEa-gedhvk0AUjEUjcNsmw

Soumya's GitHub stats

Top Languages

The stats above were generated using

https://github.com/anuraghazra/github-readme-stats

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  1. public_open_source_data_science public_open_source_data_science Public

    A repository of open source data science projects for social good

    Jupyter Notebook 3 1

  2. butterfly_detector butterfly_detector Public

    Basic tutorials and code for teaching deep learning and machine learning

    Jupyter Notebook 2

  3. dsSurvivalClient dsSurvivalClient Public template

    Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.

    HTML 3 8

  4. dsSurvival dsSurvival Public template

    Survival functions for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.

    R 5 11

  5. dsSurvivalbookdown dsSurvivalbookdown Public template

    A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD

    TeX 3

  6. getting-_started_data_science getting-_started_data_science Public

    Resources to get started in data science and teach yourself data science

    1 1