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Entry-Level Data Science Professional with research experience and strong analytical skills.
Mathematics graduate with strong analytical and computational skills, supported by international research experience at King Mongkut's University of Technology Thonburi (KMUTT), Thailand. Experienced in statistical data analysis and numerical methods through 7+ structured academic projects involving hypothesis testing, regression analysis, and computational modeling using Python. Proficient in Excel, Minitab, and foundational programming for data processing and algorithm implementation. Detail-oriented, conceptually strong, and capable of translating mathematical theory into practical analytical solutions.
Islamic State University Maulana Malik Ibrahim Malang
Bachelor of Mathematics · Mathematics
August 1, 2022 – June 30, 2025
King Mongkut's University of Technology Thonburi (KMUTT), Thailand
Research Intern
June 1, 2025 – August 31, 2025
Thailand
Academic Projects – Statistical Analysis
June 23, 2026 – Present
Conducted multiple statistical analyses including hypothesis testing and regression modeling. Utilized Excel and Minitab for data processing and visualization. Produced and presented structured reports with statistical interpretation and conclusion.
Academic Projects – Computational Programming
June 23, 2026 – Present
Implemented numerical algorithms using Python (NumPy). Visualized computational results using Matplotlib. Compared analytical and numerical solutions to evaluate error and stability.
Cultural Fit Analysis
The candidate's academic background and international internship indicate an openness to diverse environments and a proactive approach to learning. The projects show a focus on structured analysis and reporting, which aligns with data-driven cultures. However, the limited professional experience means cultural fit beyond academic settings is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through academic projects and research. Collaboration within an international academic environment suggests good communication and teamwork potential. However, the candidate's experience level is entry-level, which might require more operational guidance in a professional setting.