Khushboo Chauhan

Tools and Libraries: Python, GRAPE, OpenAI, Llama2, Random Forest, RDF2Vec, TransE, RotatE, GATConv, t-SNE, GNN, ComplEx, Distmult •Analyzed an RNA-centered knowledge graph with over 9 million edges, capturing complex RNA molecular interactions. •Extracted triples using OntoGPT by leveraging the OpenAI and Llama2 models for advanced data extraction. and used those further for the link prediction. Conducted link prediction and node classification using Random Forest, comparing multiple embedding techniques.

Tools and Languages: SQL, Ms excel, Google Sheets, PowerBI •Analyzed and maintained comprehensive records of student performance, fees, inventory expenses, and profits,resulting in a more efficient tracking system Developed reports that led to a 15% improvement in student performance insights and optimized training schedules. •Managed financial data, reducing errors and contributing to a 10% increase in overall profitability by improving cost management

Completed my course with the focus on data mining, extraction, manipulation and visualization using AI along with different ML models and did projects to dive deep into LLM and NLP