ABDULRAHMAN ALDAYEL
Software Engineer
SUMMARY
As a Software Engineering graduate with hands-on experience in smart city development, IT operations, and enterprise systems, I am passionate about leveraging technology to solve real-world challenges. I am proficient in Python, Java, C, and web technologies, with experience in RPA, ERP systems, and AI integration. I have strong communication skills and enjoy working collaboratively with diverse teams on innovative projects.
EXPERIENCE
Smart City Business Development Cell
Hyundai Motor Group · Internship • Seoul, South Korea · On-site • Jul 2025 - Sep 2025 · 3 mos
- Collaborated with the Smart City Innovation Group to develop sustainable urban mobility concepts for Misk City.
- Received specialized training on Hyundai's smart city and mobility solutions.
- Conducted research on urban planning, sustainability, and future transport systems.
- Participated in factory visits and networking sessions with industry professionals and innovators.
- Presented project findings and mobility proposals with potential for showcasing at the Misk Global Forum 2025.
IT Division
S-OIL Corporation · Internship • Seoul, South Korea · On-site • Jun 2023 - Aug 2023 · 3 mos
Interned across IT Planning, IT Operations, and Big Data teams at S-OIL, a major Korean petroleum company.
- Developed an automated press report generator using Python, NewsAPI, and OpenAI API for sentiment analysis; output HTML reports to monitor S-OIL's media presence.
- Built RPA (Robotic Process Automation) tasks using Automation Anywhere, streamlining repetitive processes.
- Gained hands-on experience in enterprise IT infrastructure: servers, storage systems, redundancy, backup strategies, and disaster recovery planning.
- Attended UAT (User Acceptance Testing) sessions for a SABIC–S-OIL ERP integration project, gaining insight into ERP testing workflows.
- Used and studied SAP ERP systems, focusing on real-world business applications and enterprise resource management.
- Conducted market price forecasting using linear regression and Python libraries (Pandas, NumPy, Matplotlib) on public datasets.
- Authored technical reports on data analysis tools, statistical methods, and IT infrastructure to support internal knowledge sharing.
- Collaborated with the Big Data team to explore predictive analytics use-cases in oil market dynamics.
EDUCATION
Bachelor of Engineering (BEng): Software Engineering
Carleton University
Ottawa, ON, Canada | June 2025
SKILLS
Programming & Technical
Soft Skills & Business
LANGUAGES
- English: Proficient (IELTS: 7.5 / PTE Core: 90) Fluent
- Arabic: Native Native