Waleed Arshad

Supported analysis and documentation of a cloud-based payroll and e-filing system. Documented workflows for onboarding, company setup, payroll, and e-filing modules. Prepared user stories, acceptance criteria, functional requirements, and process flows.

Business Analyst at Karma Software Solutions (2026-03 – Present)

• Supported analysis and documentation of a cloud-based payroll and e-filing system.
• Documented workflows for onboarding, company setup, payroll, and e-filing modules.
• Prepared user stories, acceptance criteria, functional requirements, and process flows.
• Collaborated with developers to clarify business rules, validations, and system behaviour.
• Researched US payroll tax forms and filing requirements for system implementation.
• Assisted in identifying documentation gaps and creating BRD/FRD-style documentation.
• Analysed payroll scenarios including previous payroll data, multi-state employment, and duplicate filing prevention.

Business Analyst at Alexander Maclean (2023-12 – 2025-09)

• Conducted comprehensive business case analysis comparing three LMS solutions, resulting in a detailed cost-benefit report that highlighted potential ROI improvements of up to 150%, supporting strategic decision-making for scalable online learning deployment.
• Designed and mapped current ("AS-IS") and future ("TO-BE") processes, identifying critical gaps in document access, progress tracking, and revenue streams, which informed targeted enhancements leading to a 75% increase in operational efficiency.
• Developed a functional Requirements Catalogue covering key modules such as User Management and Payment Integration; created UML Use Case Diagrams and wireframes that streamlined stakeholder understanding and contributed to the successful delivery of an MVP within three months, scaling platform capacity by over 1,000%.

Data Analyst at Vast Technology Solutions (2020-01 – 2021-01)

• Received, cleaned, and prepped data using Python, SQL, and Excel to help build models that resulted in a lift in ROI of 8 basis points.
• Optimized relational database architecture with over 30 tables and 600 indices, reducing access time to resource-intensive queries by 40%.
• Maintained the integrity of the SQL database, reporting any issues to the database architect.
• Created Tableau dashboards to increase team productivity by 25%.
• Automated data analysis process, reducing analysis time from 2 days to 2 hours.
• Used SQL to extract data from 500+ rows of transactional records & exported results into an Excel-readable format.
• Compiled datasets into visual formats like tables and charts for easy interpretation, enabling team to make quick decisions with 97% accuracy.
• Reduced the size of data sets by 10% through the use of Pandas, NumPy, and SciPy libraries.

Masters in Data Science – University of Surrey (2022-07)

Bachelors in Software Engineering – Comsats University (2019-01)