Guilherme Gaspar

I proposed and designed a component that manages advertisements for the company's clients. This component managed the frequency of ad prints, trying to optimize the click rate while at the same time keeping the users happy. I identified the need when the company started having many advertisements to show but was still focused on user growth. This component allows them to sell advertisements without alienating their clients.

A KPI dashboard to present several KPIs related to digital marketing (visits, clicks, engagement, conversation, ad performance). This dashboard connected to a data pipe, which gathers all its data from several different APIs and data sources (e.g., Google Analytics, Adobe Omniture, or Salesforce).

A chatbot for a major attraction park in Paris that would give users the timetables of the park, all attractions, and surrounding infrastructures. The bot included a text intention recognition component (Wit.ai) as well as a finite state machine with ambiguity and orthographic error detection. This chatbot was connected to several APIs to gather the data. Built in Python, it uses a serverless architecture (Lambda) and a queue component to handle incoming messages asynchronously.

A bot integrated with Slack to format messages and publish them to a social media platform. This application was developed for a team of content creators and had to accommodate the entire process of content creation (writing, review, approval, and publication). It streamlined the process, preventing errors and making it more efficient and easier to scale.