ชัชวิชญ์ ไชยหงษ์

Performance and Energy Analyst with expertise in renewable energy systems, data analytics, and techno-economic evaluation. Experienced in interpreting large-scale operational and energy datasets to support performance optimization and project evaluation. Skilled in Python, statistical modeling, and technical reporting, with a strong ability to translate complex data into actionable insights for engineering and decision-making purposes.

Research Assistant – Data Analytics

• Analyzed datasets using Python (Pandas, NumPy) for cleaning, validation, and visualization

• Applied statistical modeling and trend analysis for healthcare policy insights

• Ensured data accuracy and integrity through validation and cross-checking

• Built reports and dashboards to support data-driven decision-making

• Collaborated with cross-functional teams to deliver actionable insights

Data Collector & Coordinator

• Collected and processed multi-source data

• Performed data cleaning and validation

• Supported analysis and reporting

Master of Engineering (Energy Technology)

Prince of Songkla University | 2023 | GPA: 3.41

Thesis: Techno-Economic Assessment of Wind Energy in Urban Environments (Pattaya, Thailand)

• Conducted techno-economic analysis using Python, data analytics, and mathematical modeling

• Applied financial modeling (LCOE, NPV, IRR) for investment feasibility evaluation

• Performed sensitivity analysis and scenario modeling for project performance assessment

• Developed technical reports and data-driven insights for decision-making

Prince of Songkla University | 2021 | GPA: 2.69