Nabeel Amjad

Drove end-to-end finance automation and digitalization, delivering significant efficiency gains in FI-CO processes. Achieved 50% reduction in manual processing time by leading SAP automation projects using Power Automate and scripting. Integrated SAP FI-CO, Excel, SharePoint, and cloud APIs into automated workflows in Citrix VDI, enabling seamless data flow. Automated complex reporting and reconciliation tasks with advanced Excel VBA macros, eliminating repetitive manual work.

Increased efficiency by 30% by delivering a custom software solution using Microsoft Power Platform. Improved breeder productivity by up to 40% through developing an application with Power Apps and Power Automate. Implemented Agile processes in a cross-functional team to manage the full SDLC from concept to delivery. Collaborated with breeders and colleagues to gather feedback, ensuring the solution aligned with their needs and processes.

Increased analytical workflow efficiency by 30% by automating processes for the Equity Derivatives Release Management team. Automated release management tasks with scripts to identify and visualize performance degradation across software versions. Developed and refactored pricing libraries in the MQA testing framework to improve performance and maintainability. Ensured a robust CI/CD pipeline by configuring and maintaining Python modules in TeamCity.

Major Courses: Application Development, Artificial Intelligence, Databases, Computer Networks, Practical Software engineering, Tools of Software Projects, Programming Languages, Basic legal and Business Knowledge, and Principles of economics.

Thesis: The purpose of the thesis is to propose a student performance model based on data gathered through the e-learning management system. Machine learning techniques such as random forest regression and multivariate regression are used to evaluate students’ performance. Based on the top three features of the dataset that contributes most to the performance I develop an interactive dashboard to get insights into data deployed on the cloud platform.