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Professional headshot of Abdulrahman Aldayel

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

Python, Java, C Data Analysis (Pandas, NumPy, Matplotlib) Linux, Git, Bash HTML, CSS, JavaScript AI-API Integration (OpenAI) ERP Systems (SAP) RPA (Automation Anywhere) kernel-simulator Project

Soft Skills & Business

Statistical Analysis & Reporting Academic/Technical Writing

LANGUAGES

  • English: Proficient (IELTS: 7.5 / PTE Core: 90) Fluent
  • Arabic: Native Native