Maria Vaghani's repositories
Optimizing-App-Offers-With-Starbucks
This data set contains simulated data that mimics customer behavior on the Starbucks rewards mobile app. Once every few days, Starbucks sends out an offer to users of the mobile app. An offer can be merely an advertisement for a drink or an actual offer such as a discount or BOGO (buy one get one free). Some users might not receive any offer during certain weeks.
javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
udacity-nanodegree-exercise
files that I was working on during nanodegree program
Starbucks-irr-nir
Portfolio Exercise: Starbucks
functions-and-classes
collection of functions and classes I created for future use
Credit-Card-Defaults-Prediction
Repository containing Python script models predicting customer credit card defaults based on their payment history
NYC-AirBnB-Price-Prediction
Repository containing Python script to predict prices for AirBnb listings in NYC
Employee-Compensation-in-SF
Employee Compensation prediction script and data. Repository also contains link to a Medium article-report
stackoverflow
Findings from Stackoverflow 2017