Mumbai, India
Exploring Customer Segmentation for Market Expansion
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About Me
Data Type:
The proposed project will require working with customer data, which typically includes various attributes such as demographics, purchase history, browsing behavior, and other relevant variables. The dataset will be structured and stored in a suitable format, such as a relational database or a structured spreadsheet, to facilitate efficient analysis.
Methodology:
Data Preparation: We will gather the necessary customer data and ensure it is clean, consistent, and appropriately anonymized to protect privacy. This step may involve data cleaning, transformation, and integration from multiple sources if applicable.
Exploratory Data Analysis: We will conduct a comprehensive exploration of the dataset to identify patterns, correlations, and outliers. Descriptive statistics, data visualization techniques, and statistical tests will be employed to gain insights into the underlying customer behavior.
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