Built a machine learning model to segment customers for targeted marketing.
Arpit Verma, a Data Scientist at Flipkart, developed a customer segmentation model to improve targeted marketing efforts. Using machine learning techniques, Arpit segmented customers based on purchasing behavior, demographics, and interactions with the brand. The model I was designed to help businesses better understand their customer base, optimize their marketing strategies, and deliver personalized experiences. Arpit applied advanced clustering algorithms to categorize customers into different groups, each exhibiting unique behaviors. By analyzing these groups, the company can target customers more effectively with personalized promotions, product recommendations, and tailored messaging. This model demonstrated how data-driven insights can drive business decisions, improve customer satisfaction, and ultimately increase sales.
Digital Creator & Problem Solver
@arpitverma-1Developed a customer support chatbot to automate responses and improve user engagement.
Developed a predictive model for sales forecasting using historical data.
Created a machine learning model to predict stock prices with 80% short-term accuracy.
