In this project, I harnessed the power of artificial intelligence and machine learning to drive process optimization. By collecting and meticulously analyzing a wide array of data sources, I employed machine learning models to unveil valuable patterns and insights. These insights served as the foundation for recommending tailored solutions, aimed at enhancing both efficiency and quality in the business process.

Moreover, I took the lead in researching and assessing the performance of a chatbot, meticulously gathering and evaluating customer feedback. To augment the chatbot's capacity for delivering pertinent solutions through machine learning, I designed and rigorously tested a proof of concept. Additionally, I proposed an implementation strategy that significantly reduced redundant service requests within Jira. Continual evaluation and performance monitoring of the chatbot, along with post-implementation user satisfaction checks, were integral components to sustain the quality and effectiveness of the solution.