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Hello World, Iā€™m Ned šŸ‘‹

  • I am currently a senior quantitative risk analyst working on (credit risk) model monitoring and performance
  • Meanwhile, I am still doing (i.e., finishing) my PhD in marketing analytics at Stockholm School of Economics in Sweden
  • In my GitHub, you'll discover an extensive walkthrough of the code developed for my PhD project, a comprehensive overview of my relevant work experience prior to pursuing my PhD, and a collection of various coding projects and initiatives I have undertaken and developed.
  • Any ideas or collaborations in finance (e.g., credit risk) and marketing (e.g., marketing mix/price promotion) are welcome!
  • You can find more about me and my (research) work on my personal website

Ned Tanetpong C's Projects

bayemllearn icon bayemllearn

Collection of R code Producing Work Done over Bayesian and Machine Learning Course

bayeslearnsu icon bayeslearnsu

Datasets for the course Bayesian Learning at SU and LIU.

bda3 icon bda3

Exercises from Bayesian Data Analysis 3rd edition

channeladoption icon channeladoption

Complementary Repo for Project Compiled in my Thesis (The Long-Term Effects of Online Channel Adoption in Grocery Retailing)

discountdeterminants icon discountdeterminants

Complementary Repo for Project Compiled in my Thesis (Investigation of Potential Drivers of Discounts Elasticities Across Brands, Categories and Store Formats)

discounthreshold icon discounthreshold

Complementary Repo for Project Compiled in my Thesis (Influence of Regular Prices and Discounts on Retailer Performances)

mlcourse icon mlcourse

Home for the course Machine Learning, 7.5 credits given every spring semester at the Department of Statistics at Stockholm University.

priorphd icon priorphd

Collection of work-related material in 2014 - 2018

shopper-src icon shopper-src

Code for Shopper, a probabilistic model of shopping baskets

spotify_covid-19 icon spotify_covid-19

Complementary Repo for Project Compiled in my Thesis (How Covid-19 Affected Playlist Followers on Spotify)

ulsdpb icon ulsdpb

Python package for the paper "Understanding Large-Scale Dynamic Purchase Behavior", forthcoming in Marketing Science

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