The goal is reduced operational cost through data deep analysis and data quality when buying market research. We are active in the areas of data collection software, data processing platforms, and workflow & estimation cost, we are leaders in mobile market research and productions new research techniques such as virtual reality and facial coding. Data preparation, Data reduction (PCA), Data transformation, cost estimated Model building.
Environment: R, Excel, SPSS
Project 1: Credit Risk Analytics
Role: Data Analyst
Working location: Google office
This data set is related with a loan and challenge is to predict approval status of loan (Approved/ Reject). EDA (Exploratory data analysis), Data preprocessing for credit risk modeling, credit scoring, Data Model building (Supervised Modeling).
TOOLS: R, Excel, SPSS .
Project 2: Customer buying behavior & E commerce
Role: Data Analyst
Working location: Google office
Project description:
This purpose this project is mainly focus on how demographic variable (Gender, Education,
Income, Marital Status, Region and Occupation) and Psychological factors (Motivation, Perception, Learning & Beliefs and attitudes) affect customer buying behavior towards E Commerce. The Aim this project is to study the Identify the Factors then build suitable model for each customer demographic variable which influencing the customer buying behavior towards E Commerce.
Roles and Responsibilities:
Understanding of Demographic variables and Data