To design and develop a market research system that analyzes customer demographic and transactional data to identify buying behavior patterns and predict future purchase trends. The system will help businesses understand customer segmentation, demand forecasting, and targeted marketing strategy development.
Collect primary or secondary dataset containing customer demographics, purchase history, and product categories.
Perform data cleaning and preprocessing using Python (Pandas, NumPy).
Conduct exploratory data analysis (EDA) to identify patterns and correlations.
Implement customer segmentation using clustering algorithms such as K-Means.
Develop a predictive model using regression or classification techniques.
Visualize trends using Power BI or Matplotlib dashboards.
Analyze seasonal and demographic-based purchase patterns.
Compare performance of different machine learning models.
Design a simple user interface for inputting new customer data.
Generate automated insights and business recommendations.
Document findings in a structured market research report.
Present insights on how businesses can improve targeted marketing.
