Retail AI Engineer for Customer Sentiment Analysis

This AI engineer specializes in retail sentiment analysis, leveraging AI and machine learning to decode customer emotions from reviews, social media, and support interactions. With expertise in natural language processing (NLP) and deep learning, they help businesses enhance customer experience, boost engagement, and refine marketing strategies. Their AI-driven insights empower retail brands to predict trends, mitigate negative feedback, and foster brand loyalty.

• AI-Driven Customer Sentiment DashboardDeveloped an advanced dashboard that processes and visualizes customer sentiment in real time using NLP and machine learning, improving brand reputation management by 40%.
  
  Retail Chatbot for Personalized ShoppingDesigned an AI chatbot that analyzes customer inquiries and sentiment, offering tailored product recommendations, reducing customer support costs by 35%.
  
  Social Media Sentiment Analysis EngineBuilt a system that tracks and analyzes social media conversations, helping retail brands proactively address negative sentiment and enhance engagement strategies.
  
  Voice-Based Sentiment Analysis for Call CentersImplemented AI models that analyze call center conversations in real time, improving customer satisfaction scores by 25% through personalized responses.
  
  Predictive Customer Behavior ModelCreated an AI model that predicts customer purchasing behavior based on sentiment trends, boosting e-commerce conversion rates by 20%.