Jularat Saenkonyang

Designed and managed feedback questionnaires for seminars, events, and promotional campaigns to gather customer insights and satisfaction data. Coordinated with participants and conducted confirmation calls for company events and seminars. Performed data cleaning, response categorization, and feedback analysis before presenting results through dashboards and summary reports.

Event Communication at Phaya Ratchasri Company Limited (2025-10 – Present)

• Designed and managed feedback questionnaires for seminars, events, and promotional campaigns to gather customer insights and satisfaction data.
• Coordinated with participants and conducted confirmation calls for company events and seminars.
• Performed data cleaning, response categorization, and feedback analysis before presenting results through dashboards and summary reports.
• Supported on-site event operations, including presentation control, slide management, and monitor coordination during seminars and events.

Management Information System: MIS at Krungthai General Service and Security Company (KTGS) (2025-01 – 2025-07)

• Conduct comprehensive monthly analyses of estimated profit and loss, providing key insights for strategic decision-making.
• Develop meticulous projections of departmental service costs for the upcoming fiscal year, aiding in budget planning and resource allocation.
• Perform in-depth analysis and synthesis of call center employee compensation data, contributing to fair and competitive remuneration strategies.
• Investigate and present findings on employee absenteeism, tardiness, and vacation leave utilization to the management team, facilitating improvements in workforce management.

Internship Trainee at Bangkok Expressway and Metro Public Company Limited (BEM) (2023-11 – 2024-03)

Project: A study of the Factors Affecting Energy Consumption in Stations Railway: A case Study of the Chalerm Ratchamongkhon Line. (Blue Line)

• Cleaned & Processed 360 records (handling Missing values, fixing structural errors) using Excel
• The Statistical methods used for data analysis were Simple linear regression and Multiple linear regression.
• Statistical analysis was performed with SPSS. To study factors affecting energy use electric train stations.

Bachelor of Science in Statistics and Data Science – Khon Kaen University (2020-07 – 2024-05)