portfolio's Introduction

Rahul's Portfolio

This repo holds project reports and resumes for my data science work.

Resume holds the latest copy of my resume.
Reports holds project reports for my academic project work at Northwestern. Here's a summary of the projects:

Sales price prediction for Ames housing dataset using multilinear regression modeling using lm
Wins per game predictive modeling for 186 years of baseball data using regression and decision trees using glm, broom
Wine case purchase volume predictive modeling using poisson, negative binomial, and hurdle models using glm, caret, broom
Model to predict donation amounts for a not-for-profit marketing campaign using a variety of machine learning modeling approaches including boosting, bagging, random forest, PCR and elastinet using caret
Miles per gallon prediction on the ISLR::auto using flexmix modeling
Time series forecasting for item level forecasts for Russian software firm competition (1C). Top-down approach using TSLM, ARIMA, Prophet, STLF models using xts, forecast, TSclust, mice
Time series forecasting for the DengAI, disease spread competition, utilizing transfer entropy, method of analogues, and single layer LSTM models using xts, forecast, TransferEntropy, keras
Text analysis of aviation safety data using tSNE, TF-IDF and structural topic modeling in R using tm, topicmodels, stm, tidytext
Developed fully connected neural network model developed using numpy and pandas, to classify MNIST dataset
Customer segmentation modeling using tSNE, hierarchical agglomerative clustering and k-means followed by market segmentation profiling
Discrete choice experiment modeling using Hierarchical Bayes Multinomial Logit to select product design
Model to predict target market for campaign using random forests and naïve bayes models

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