Data Scientist
Current• Developed and trained a medical chatbot using Meta’s Llama 2 LLM to provide accurate responses to user enquiries by employing Python, Langchain framework and Pinecone vector database• Implemented chunk embeddings and semantic indexing to organize large text chunks into a searchable knowledge base on Pinecone for efficient storage and retrieval• Conducted prediction and classification model building on a healthcare dataset using Vertex AI (AutoML, Custom ML Model) and BigQuery, leading to 85% accuracy in patient health outcome predictions• Utilized statistical modeling and machine learning algorithms to provide data-driven recommendations to healthcare client, collaborating with three cross-functional teams - developers, engineers, and business stakeholders - to optimize project execution and improve project quality for our client• Orchestrate the development and implementation of time series forecasting models on a comprehensive 6-year retail sales dataset using Python programming and machine learning algorithms• Create dynamic visualizations and dashboards using libraries such as Matplotlib and Seaborn to communicate model predictions and insights to stakeholders effectively
