A few notable projects

• Shiny App - Data Exploration & Analysis - The aim of the project is to provide the users an interface for data upload, data exploration, statistical analysis including machine learning algorithms to easily find new insights in their data.
  Check out the App.

• Study Of Airbnb Data - The aim of the project is to optimize the price of new house listing by analysing other people’s pricing data in surrounding areas, relative to features such as locations, amenities, reviews, etc.
  Check out a demo online.
  Available on GitHub.

• Predicting House Prices - Regression Problem - Determining the housing prices of California properties for new sellers and also for buyers to estimate the profitability of the deal.
  Check out a presentation online.
  Available on GitHub.

• Interactive Visualization & Chart using D3.js - My goal of this visualization was to show how, most of the world’s population has seen an increase in body size with an increase in food supply, and show how this compares to how “rich” a country is.
  Check out a demo online.
  Available on GitHub.

• Marketing Analysis for Hotel Chain Website - Defined new marketing strategies to increase the revenues generated by the website based on data inspection, dimensionality reduction, analysis of customer segments & characteristics, presented results with HTML reporting.
  Check out a demo online.
  Available on GitHub.

• Yelp Review Analysis: Topic Modeling - Designed & developed topic modeling model using Latent Dirichlet Allocation (LDA) to discover popular topics from reviews of a selected group of restaurants to recommend new entrepreneurs to optimize their business by analyzing the current market scenario.
  Check out a poster online.
  Available on GitHub.

• Memory Behavior Analysis - The projects aims to analyze the memory (Survey of Autobiographical Memory), OSIQ (Object Spatial imagery) & BFI (Personality questionnaire) datasets to study the interrelation of memory and behavior in humans.
  Check out a report online.
  Available on GitHub.

• Stock Market - Risk Analysis & Prediction - The aim of the project is to determine forecasting techniques to determine future stock prices using time series analysis & determining the maximum risk involved using Monte Carlo techniques.
  Check out a report online.
  Available on GitHub.

• AB Testing - Optimizing Story Udacity - The projects aims to analyze the A/B Testing analytics data to determine an Effective Intervention to Decrease Early Udacity Course Cancellation.
  Check out a report online.
  Available on GitHub.

Other Projects:

• Sales Data Analysis Model
• Football data acquisition & storage
• Kaggle Competitions Code
• Multiple project tracking template
• SPSS - Quantitative & Qualitative Analysis
• Machine learning Repository