Rahul Rathore

• Conducted a comprehensive sentiment analysis of user-generated reviews for ExpressWay Logistics using advanced Natural Language Processing (NLP) techniques, identifying key customer pain points and areas for service improvement.
• Developed and implemented prompt engineering methodologies, leveraging sentiment classification to distinguish positive and negative feedback across various digital channels, enhancing the company’s understanding of customer satisfaction trends.
• Analyzed complex review data and provided actionable insights, helping streamline logistics processes to address customer demands, reduce delivery delays, and ensure product integrity.
• Collaborated with cross-functional teams, including operations and customer service, to translate analysis results into strategic recommendations, driving improvements in inventory management, courier dispatch efficiency, and real-time shipment tracking.
• Utilized data visualization tools (e.g., Power BI, Tableau) to present findings and key performance indicators (KPIs) to stakeholders, facilitating data-driven decision-making and ongoing service enhancements.

Key Skills: NLP, Sentiment Analysis, Prompt Engineering, Data Analysis, Stakeholder Communication, Strategic Planning, Python, Power BI / Tableau.

• Developed a comprehensive prompt engineering strategy to extract structured insights from unstructured customer reviews using Generative AI models, improving the understanding of customer sentiment across digital feedback channels.
• Analyzed customer feedback data to identify key pain points and prioritize action items, focusing on improving product features and customer experience for various computer, phone, and hardware products.
• Created a sentiment analysis framework that accurately classified reviews as Positive, Negative, or Neutral, and identified competitor mentions and product comparisons, helping the company understand market positioning.
• Collaborated with cross-functional teams, including product management and customer service, to present actionable insights derived from structured data, leading to strategic improvements in product design and service offerings.
• Leveraged NLP techniques and data visualization tools (e.g., Python, Pandas, Power BI) to streamline data analysis and deliver clear, actionable reports to stakeholders.
• Enhanced the feedback loop process, allowing the company to take timely actions based on customer sentiment, leading to a measurable increase in customer satisfaction and retention.

Key Skills: Generative AI, Prompt Engineering, Sentiment Analysis, NLP, Data Analysis, Python, Power BI, Stakeholder Communication, Product Improvement