Izabela Mossini
About Izabela Mossini
Izabela Mossini is a Product Analyst and Conversational Writer at Sinch, where she has worked since 2020. She specializes in event tagging, chatbot performance analysis, and the application of NLP concepts to enhance conversation flows.
Work at Sinch
Izabela Mossini has been employed at Sinch as a Product Analyst - Conversational Writer since 2020. In her role, she identifies event tagging points to measure the success metrics of solutions, ensuring that they align with client expectations. She specializes in creating conversation flows within chatbot platforms, focusing on content definition, including texts, interactions, and templates. Additionally, she analyzes chatbot performance results and proposes necessary improvements based on identified needs. Mossini conducts end-to-end testing of chatbot solutions to ensure quality and performance.
Education and Expertise
Izabela Mossini studied at Universidade Paulista, where she achieved a degree in Educação Física from 2014 to 2017. She furthered her education at the same institution, obtaining a Licenciatura em Educação Física from 2018 to 2019. Her academic background provides a foundation for her analytical skills and understanding of user interactions. Mossini applies Natural Language Processing (NLP) concepts to organize intent mapping and connect them with conversation flows, enhancing her expertise in conversational design.
Background
Before joining Sinch, Izabela Mossini gained experience in various roles. She worked at CPFL Energia as an Estagiária de Benefícios from 2016 to 2017, where she was involved in benefits administration. Following that, she served as a Vendedora e Atendimento ao Cliente at Decathlon Brasil from 2018 to 2020, focusing on customer service and sales. In 2020, she worked at ao3 as a Suporte técnico de atendimento ao cliente for nine months, further developing her customer support skills.
Achievements
Izabela Mossini has developed a strong skill set in chatbot performance analysis and conversational design. She has successfully identified key metrics for measuring the success of chatbot solutions and has implemented improvements based on performance results. Her work in creating effective conversation flows and conducting thorough testing has contributed to the quality and effectiveness of chatbot interactions at Sinch.