
Dynamic Lead Tech Support Engineer with a proven track record at Litmus World, excelling in technical troubleshooting and system analysis. Expert in Javascript and Python, I effectively resolved escalated customer issues and trained teams, enhancing service quality and response times. Committed to delivering exceptional user experiences through collaborative problem-solving.
Project Title: AI-Powered Feedback Management System
Description
Developed a full-stack web application designed to collect, manage, and analyze user feedback in real-time. The system focuses on transforming raw user comments into actionable business insights using sentiment analysis.
Key Technical Contributions
• Dynamic Feedback Engine: Built a responsive frontend that adapts questions based on user ratings (Conditional Logic).
• Sentiment Analysis Integration: Integrated a Natural Language Processing (NLP) layer to automatically categorize feedback as Positive, Neutral, or Negative.
• Analytics Dashboard: Designed a comprehensive admin panel using Chart.js/D3.js to visualize feedback trends and Net Promoter Score (NPS).
• Real-time Notifications: Implemented an alert system (via Email/Webhooks) for high-priority negative feedback to ensure quick resolution.
Tech Stack Used
• Frontend: Html, Css, JavaScript
• Backend: Python
• Database: MongoDB (NoSQL)
• Others: JWT (Authentication), REST APIs, Sentiment.js / Python (NLTK)