Akshay Sangwan

Analyzed customer behavior data using Python and SQL to identify key trends and patterns, resulting in a 20% increase in customer retention rate and a 15% boost in upsell opportunities. Led developing and deploying a high-performing chatbot tailored to client needs and industry standards; achieved a notable 40% increase in user engagement and delivered a remarkable 25% enhancement in conversion rates in just three months. Integrated language models (LLM) with various data sources to enhance chatbot functionality using Langchain and Pinecone vector database. Fabricated a collaborative effort across teams to integrate LLM capabilities into the chatbot, driving a 30% uptick in customer satisfaction scores and a 20% rise in chatbot utilization rates.

Developed and launched a fully functional chatbot, adhering to client requirements and industry best practices; increased user engagement by 40% and achieved a 25% conversion rate improvement within 3 months. Led collaborative efforts to gather, fine-tuning, and document AI chatbot requirements, ensuring seamless communication among teams and enabling a 25% reduction in customer support response times. Played a pivotal role in adopting best practices, enhancing website performance, and boosting user adoption.