Rudrani Ghosh

Built a legal-tech system with multilingual, audio-supported AI legal assistance for underserved users, including tools for legal research, clause analysis, and scenario simulation.

Created and scaled an astrology-based platform offering automated insights on career, relationships, and life aspects, with real-time interactive tools and data-driven personalization.

Training and evaluating machine learning and large language models across multiple domains, assessing outputs for accuracy and coherence, and contributing to model improvement through structured feedback and prompt refinement.

Worked on unsupervised learning approaches for fraud pattern detection in healthcare datasets, including insurance fraud, identity theft, and phantom fraud scenarios.

Developed predictive models using regression and classification methods, including applications in healthcare, sports analytics, and price prediction.

Explored machine learning and introductory NLP workflows through applied projects, including time-series forecasting and API integration using IBM Watson.

Grade: 9.19

Pursued Master of Science in Data Science with a thesis on fine-tuning LLMs with RAG for educational content generation. Achieved a CGPA of 9.19.

Grade: 9.0

Attended a summer school course on logic as a tool for modelling, achieving a grade of 9.0 and earning 3 credits.

Grade: 9.7

Completed Bachelor of Laws with a CGPA of 9.7, covering a wide range of legal subjects including constitutional, criminal, and corporate law.

Grade: 9.65

Earned Bachelor of Computer Applications with a CGPA of 9.65, studying programming, data structures, and web development.