Sneha Muramkar

AI-Based Call Center & CRM System

• Developed an AI-powered call center and CRM system with lead management, direct calling functionality, and role-based access for admins, employees, and managers.
• Integrated an advanced call gateway on Ubuntu using Asterisk, enabling seamless VoIP call triggering and management.
• Designed & managed scalable backend architectures using Python (Django) , ensuring high performance and smooth API integration between front and backend.
• Implemented AI-driven automation, enhancing call handling efficiency, customer engagement, and predictive analytics for better decision-making.
• Optimized system workflows for improved lead tracking, call monitoring, and data-driven insights, making the platform more efficient and scalable.
• Developed real-time dashboards for monitoring call activity, performance metrics, and lead conversion rates.
• Integrated third-party APIs for enhanced customer interactions, including speech-to-text, sentiment analysis, and auto-call distribution (ACD) systems.
• Reviewed code, debugged problems, and corrected issues.
• Developed functional databases, applications and servers to support websites on back-end.
• Integrated third-party APIs to enhance functionality and improve overall user experience on web platforms.
• Reduced page load times by optimizing front-end assets such as JavaScript files, stylesheets, and images.
• Worked with back-end developers to design APIs.
• Discussed project progress with customers, collected feedback on different stages and directly addressed concerns.
• Enhanced user experience by developing and implementing a responsive front-end interface for web applications.

• Developed and implemented the 'Ask Me Anything' feature, enabling AI-driven user interactions, significantly improving engagement, and real-time query handling.
• Integrated AI (Archer AI) to manage diverse football-related queries, ensuring accurate and dynamic responses tailored to user interests.
• Automated daily football stats delivery, where AI sends real-time team statistics and insights directly to relevant chat rooms, keeping fans informed and engaged.
• Optimized system monitoring by leveraging Zabbix Monitoring Tool, enhancing system performance, uptime, and reliability through proactive issue detection and resolution.
• Enhanced user experience by integrating AI-driven insights, predictive analytics, and intelligent automation, making interactions seamless and data-driven.

• Successfully developed the Blood Bank Management System, improving donor and stock management through Python, Django, HTML, CSS, JavaScript, and MySQL.
• Assisted in backend development tasks, optimizing system efficiency and database performance.