
Nigel Naniong
Goal-oriented Computer Science student at the University of Santo Tomas with a strong foundation in data analytics and backend development.
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About
Goal-oriented Computer Science student at the University of Santo Tomas with a strong foundation in data analytics and backend development. Experienced in building ETL pipelines, predictive models, and scalable system architectures, combining technical execution with business process understanding. Skilled in translating complex requirements into efficient, data-driven solutions.
Currently seeking internship opportunities in Data Transformation, Data Analytics, Data Engineering, or Business Intelligence to build scalable, high-impact financial and enterprise solutions.
Experience
SAP SCM Delegate (Academic Intern) | Accenture | Feb 2026 – May 2026
- Engineered interactive business intelligence reports (ALV) utilizing ABAP to visualize, extract, and monitor Materials Management (MM) data and supply chain workflows.
- Navigated complex enterprise data schemas via the SAP Data Dictionary (DDIC), manipulating internal tables and function modules to extract and process real-world SCM transaction data.
- Analyzed end-to-end procurement and inventory lifecycles (Purchase Orders, Goods Receipt, Invoicing) to successfully translate complex business requirements into actionable technical data designs.
- Optimized data processing scripts and applied rigorous debugging techniques to ensure highly efficient data retrieval and execution across large-scale enterprise ERP environments.
Back-End Developer | Jollibee Quinta Market, Manila |Sept 2024 – June 2025
- Architected and deployed the secure back-end infrastructure for a custom employee management system (BeeHive), streamlining timekeeping and payroll operations for the branch
- Engineered robust authentication protocols, incorporating Role-Based Access Control (RBAC), encrypted password recovery, and email verification to safeguard sensitive personnel data.
- Automated complex payroll computations and refined CRUD operations, significantly reducing manual processing time by an estimated 10 – 15 hours per week and decreasing data entry errors by 25-40%
Education
University of Santo Tomas (UST), Manila | 2022 - Present
Bachelor of Science in Computer Science – Specialization in Data Science
