This Repository Contains Codes that I have developed over different projects. I have included Codes that I wrote on R, SAS and Python. I have compiled a list of different projects that these codes were a part of. Please find the same list below.
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Spectral Clustering Code - Buyer preference on a ecommerce website is converted to a bi-directed graph. The graph is then cleaved into connected components to find groups of buyers who tend to buy alike. This can be used to investigate substitution effects.
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Customer Default Model - Customer history data over the past 12 months was given to us. We created features based on the data and created a model to calculate the probability of default. We also advised the client on personalized effective engaging methods so that they could stop each customer from dis-engaging with them.
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TimeSeries Models on R - Built a standard operating practise for creating ARIMA time series models on R.
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Startup Classifier - Created a SVM Kernel based classifier for startups to classify them into (at risk/no risk) categories. Used data from the startup's website and app usage history and many other performance based features.
-Nitin