Baraa Zaid

- Designed and implemented a restaurant recommendation engine using collaborative filtering, content-based filtering, and hybrid approaches to provide personalized restaurant recommendations to users based on their preferences, location, and past interactions. - Developed a Retrieval Augmented Generation (RAG) agent to enhance the restaurant recommendation capabilities by integrating structured data from a restaurant knowledge base, user reviews, and other relevant sources to generate more informative and contextual recommendations. - Built a conversational chatbot interface using natural language processing and generation techniques to enable users to interact with the restaurant recommender system through natural language, allowing them to search for restaurants, make reservations, and get personalized suggestions. - Employed machine learning techniques, such as deep learning for natural language understanding and generation, to continuously improve the chatbot's conversational abilities, enabling it to engage in more natural and informative dialogues with users. - Implemented robust recommender systems for the restaurant booking platform, leveraging user behavior data, contextual information, and collaborative filtering algorithms to provide accurate and timely restaurant availability, pricing, and reservation recommendations to enhance the user experience.

Key Responsibilities: - Build ML and predictive solutions for sales and demand forecasting - Develop BI dashboards and data analytics solutions - Deploy ML systems using cloud -Strategize and solve key business and marketing problems using data - Communicate with stakeholders and different teams from different departments - Led 4 projects in marketing and logistics divisions

- Developed and deign dashboards and ML predictive solutions - Develop ML algorithms for solving complex problems for big companies - Perform analysis and data handling on Big Data - Deploy ML APIs on the cloud and on private servers - Create data-driven marketing strategies and market research

Key Responsibilities: - Monitor website and marketing data analytics - Responsible for optimizing UX dashboards and website landing pages using analytics and A/B testing -Store and clean usage data in appropriate format in SQL - develop reports and presentations for client