Lead Data Scientist
CurrentI am currently working on a chatbot application that leverages a Large Language Model (LLM) to interact with my MySQL database. This chatbot is capable of retrieving data and making bookings.Responsibilities and Achievements:Chatbot Development: Developed and implemented a chatbot using LLM to facilitate seamless interaction with a MySQL database.Data Retrieval: Enabled efficient data retrieval and booking capabilities through natural language queries.Machine Learning and NLP: Utilized machine learning and natural language processing techniques for venue matching, ensuring accurate and relevant results for users.Smart AI Event-Data CrawlerEvents include small hyper-local events like farmer’s markets, and neighborhood garage sales, as well as larger concerts and festivals. Designing an event extractor from unstructured pages across the whole web.● Design and develop an ML-powered complete end-to-end System of Event-Data Extraction from unstructured Webpages based on Web Mining.● Develop modules to detect if the page contains an event, predict the page structure, and extracts event details such as event name, event date, event location, etc, from the webpage.● Utilize repeated sub-structures on web pages to improve extraction precision and recall. Develop a consolidation method to cluster event extractions from the model, remove duplicates, and identify high-precision events. extract● Design fully automated algorithms to identify high-precision templates without human intervention.Event Recommendation Engine● Design and develop hybrid Event recommendation systems that recommend relevant events that the users might be interested in attending.● Improved event data visibility by 55% on the platform.
