Student Name

Degree

Master of Science in Data Science

Department

Department of Computer Science

Faculty/ School

School of Mathematics and Computer Science (SMCS)

Date of Submission

Fall 2026

Supervisor

Dr. Asma Sanam Larik, Visiting Faculty, Department of Computer Science

Keywords

Evolutionary Computation, Data Migration, Data Transformation, AI, Data Science

Abstract

To develop a tool that can assist in data transformation stages for machine learning, data migration and ERP implementation projects leveraging state of the art LLMs and evolutionary techniques. We plan to develop a pipeline that can evolve through existing valid data records and cater for discrepancies that may have been caused due to process inconsistencies, data entry errors or null / falsely collected data. We also plan to implement methods for data transformation using LLMs as to extract or fill in data that would require general information.

Document Type

Restricted Access

Submission Type

Research Project

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