Sirapop Prempree

I am seeking a position where I can apply my background in ICT and practical experience in Machine Learning, Data Engineering, Data Science, and AI. I am highly adaptable, enthusiastic, and eager to learn new things to further develop myself and create value for the organization.

iOS Developer at Wisdom Vast (2024-06 – 2025-03)

Worked as part of a full-stack iOS development team, participating in UI/UX design, API integration, and debugging tasks. Gained practical experience in mobile app development within a software house environment.

• Participated in UI/UX design and API integration
• Conducted debugging tasks
• Worked in full-stack iOS development team
• Gained experience in software house environment iOS Developer at mula-x holding (thailand) co. ltd (2023-06 – 2023-08)

Assisted in developing an iOS app feature for importing user data from Thai national ID cards.

• Developed iOS app feature for Thai national ID card data import

Research Assistant (Stray Dog Population and Rabies Surveillance) at Mahidol University (2022-10 – 2023-03)

Conducted research stray animal detection using computer vision. Led image and video processing using Python (OpenCV, Pandas), prepared annotated datasets (YOLO/COCO format), and trained object detection models (YOLOv5, EfficientDet) to support zoonotic disease control efforts.

• Conducted stray animal detection research using computer vision
• Processed images and videos using Python (OpenCV, Pandas)
• Prepared annotated datasets in YOLO/COCO format
• Trained object detection models (YOLOv5, EfficientDet)

Junior Business Data Analyst at Mizuhada Group

-Processed and cleaned sales & inventory data using Python (Pandas)

-Built inbound/outbound analysis to monitor stock movement and detect stock-out risks

-Developed time-series forecasting models to predict product demand (per SKU)

-Created data visualizations for business insights and decision-making

-Automated data pipeline from raw files to forecast outputs (Excel-ready)

-Processed and cleaned sales & inventory data using Python (Pandas)

-Built inbound/outbound analysis to monitor stock movement and detect stock-out risks

-Developed time-series forecasting models to predict product demand (per SKU)

-Created data visualizations for business insights and decision-making

-Automated data pipeline from raw files to forecast outputs (Excel-ready)

Bachelor of Science in Digital Science and Technology – Mahidol University (2021-01 – 2024-01)