Anamika Bhardwaj

Projects(Oct 2022- May 2024)

• Worked on use cases across three different domains: Banking, Telecom, and Healthcare and more.
• Implemented prompt engineering and tuning while working with LLM-based chatbots, tried multiple ways to tune it to give best required responses.
• Developed strategies to optimize responses and information retrieval using the RAG (Retrieval Augmented Generator) framework, enhancing conversational interfaces.
• Generated embeddings from various file types and efficiently stored them in VectorDB, showcasing expertise in data representation.
• Utilized OpenAI function calling for external API integration and created performance graphs for better visualization and comparison.
• Conducted Exploratory Data Analysis using Teradata libraries to train machine learning models, along with clustering and similarity search.
• Researched the best methods for creating embeddings for large documents (more than 100 pages) while working on another LLM-based chatbot.
• Implemented prompt tuning, including few-shot learning, to optimize task performance and achieve superior results. Additionally, aligned responses with given context.

Projects( May 2021-Oct 2022)

• Conducted source data analysis on SAP, JDE, SAGE, SPECNET, and Oil-Soft systems.
• Built end-to-end data pipelines and prepared target data models for visualization team consumption.
• Performed data validations and analysis on source systems, ensuring accuracy and reliability.
• Proficient in Azure Synapse (Azure SQL DW) Cloud Service.
• Expertise in data modeling, data profiling, data warehousing, and dimensional modeling.
• Created logical, physical, semantic, and conceptual models aligned with KPIs.
• Developed KPI logic and calculated metrics.
• Created and tested views for Power BI reports, ensuring optimal performance.

• Organize, extrapolate, and disseminate data across departments to be used for drawing conclusions about the success of current methods
• Present detailed reports about the meaning of gathered data to members of management
• Identified, analyzed and interpreted trends or patterns in complex datasets.
• Developed strategies to improve data accuracy and quality control.
• Assisted with the design of new processes, policies and procedures related to data management activities.
• Collaborated with stakeholders across departments to ensure efficient operation of information systems.