Rajlakshmi Sinha

• Built condition detector using Generative AI to give a summary of the given document for healthcare project.

• Built document based QnA system with Langchain, Pinecone and Large Language Models (LLMs) like GPT 3.5

• Implemented Gen AI solutions using Python, specializing in LLMs such as GPT 3.5, to address to diverse requirements.

• Conducted thorough research and experimentation to stay abreast of latest advancements in Gen AI, continually refining techniques to enhance model performance.

• Led data analysis efforts to extract, clean and transform datasets using Python and MySQL, resulting in improved data accuracy, and streamlined reporting processes.

• Collaborated with the cross functional teams to identify key business metrics, generate insightful visualizations, and present data-driven recommendations that contributed to a 12% increase in customer engagement.

• Developed and maintained SQL queries to retrieve data from various sources, ensuring the availability of accurate and up-to-date information.

• Utilized Python libraries such as Pandas, NumPy and scikit-learn to build recommendation systems and prediction models, increasing the revenue by 10%.

• Created interactive dashboards in Power Bi, providing stakeholders with realtime insights into sales trends, customer behavior and inventory management resulting in more informed decision-making.