Mayssem Chouaibi

** Airbnb Data Scraping & Analysis - Designed and implemented a web scraper to extract Airbnb listing data using Playwright- Processed and cleaned large datasets using Pandas and NumPy to ensure structured and meaningful insights. - Conducted exploratory data analysis (EDA) and visualized trends using Matplotlib and Seaborn to identify pricing patterns, demand fluctuations, and competitive advantages. ** AI-Powered Virtual Guest Book for Airbnb - Developed an AI agent using LangChain to provide personalized travel recommendations based on Airbnb location and user preferences. - Implemented OCR (Optical Character Recognition) for ID verification, enabling automated guest check-ins. - Integrated Retrieval-Augmented Generation (RAG) with pgvector and PostgreSQL to store and retrieve information dynamically, allowing a chatbot to query the database and answer guest questions.

- Led the design and development of an AI-driven admin portal, improving system performance and user experience by integrating machine learning models for real-time optimization. - Spearheaded a cross-functional team to build a webRTC solution, leveraging AI to enhance video and voice quality, leading to a 20% increase in user satisfaction. - Architected and managed APIs for seamless interaction between the solutions developed locally and the solutions developed by an offshore team. - Conducted advanced data analysis and implemented machine learning models to extract actionable insights, contributing to a 35% performance boost across key features. - Deployed and monitored the solutions using CI/CD frameworks.

- Developed fintech solutions using ReactJS and a proprietary language based on Spring Boot. - Collaborated with cross-functional teams to facilitate solution development, including designing and developing machine learning algorithms to predict customer behavior. - Contributed to the development of a component-based architecture to create reusable components following atomic design, integrating them into the main frontend project for scalability.

- Conducted research on ontologies and their applications in crisis management, improving data semantic understanding in emergency situations. - Developed an AI-powered platform for emergency response, utilizing ontological models for better decision-making.

- Participated in the creation of a website for a local hospital. - Developed a web scraper for data extraction and analysis of page contents to test their validity and accessibility. - Conducted A/B testing on various website features to improve user experience and engagement. - Utilized data visualization tools to present easy to digest insights to hospital management, driving data-informed decisions

- Designed a desktop application for tracking work hours and automating administrative processes. - Automated paperwork, boosting productivity by 60% through efficient data handling and processing.