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Data Science with less than a year in data analysis, machine learning, and data visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Data Science student with hands-on experience in data analysis, business intelligence, machine learning, and data visualization across government, banking, and private-sector organizations. Proficient in Python, SQL, Power BI, and Excel for transforming data into actionable insights. Passionate about leveraging data-driven solutions to support strategic decision-making and business growth.
Institute of Technology of Cambodia & TUX Global Institute
Bachelor of Science · Data Science
N/A – June 30, 2026
National Bank of Cambodia (NBC)
Data Science Intern
April 1, 2026 – Present
Cambodia
Sundery co.ldt
Data Science / Data Analytics Intern
March 2, 2026 – Present
Cambodia
Ministry of Public Works and Transport (MPWT)
Data Science / Data Analytics Intern
August 10, 2025 – October 27, 2025
Cambodia
Cultural Fit Analysis
The candidate's experience across government, banking, and private sectors demonstrates adaptability and exposure to different organizational cultures and data challenges. Their involvement in projects ranging from fraud detection to sales analysis and national dataset processing shows a broad interest in applying data science to various domains. This diversity suggests a good cultural fit for roles requiring versatility and a problem-solving mindset across different business contexts.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, communication, and team collaboration as soft skills. Their internship experiences, particularly collaborating with risk management teams and presenting findings to non-technical stakeholders, suggest practical application of these skills. The diverse internship settings (banking, private, government) indicate adaptability and a willingness to work in varied operational environments.