I extract, clean, and analyze data to uncover insights that enhance efficiency and reduce costs throughout the supply chain.• Maintain reports and visualizations to track key performance indicators (KPIs).• Utilize statistical methods and predictive modelling techniques to forecast demand and identify trends.• Drive process automation initiatives by identifying repetitive tasks and developing automated workflows.

• Led the development of a counterfeit check detection system, showcasing proficiency in Python, data science, and fraud detection methodologies.• Achieved an 83% accuracy rate for the implemented model.• Applied data augmentation techniques to surmount the challenge of a limited training dataset, resulting in a substantial augmentation from 4,000 to 14,000 dataset images.• Reported regular project briefings, delivering updates and progress reports to both the Head of Department (HOD) and team members, culminating in a compelling final project presentation.

• Developed a web application using the ASP.NET MVC framework, contributing to a deeper understanding of web development principles.• Collaborated with team members to troubleshoot and debug issues within the ASP.NET MVC applications, fostering teamwork and problem-solving skills.• Utilized SQL Server for database management, including schema design and ensuring data integrity.• Assisted in the deployment of ASP.NET MVC applications, gaining experience in deployment procedures.