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.
- 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
Sep 2022 - Present
