Data-driven Problem Solver building reporting and automation for inventory, R&D, and lab operations
My career started at SGS Laboratory in 2021, where I specialized in Amino Acid Profile Testing and learned to work with traceable, high-precision data in a tightly controlled environment.
That foundation shaped how I approach reporting today: clean inputs, clear logic, and outputs people can trust when making stock, purchasing, or operations decisions.
Today, I work in controlled-release fertilizer formulation R&D and use programming, automation, and low-code tools to turn scattered operational data into dashboards, alerts, and workflows that reduce manual effort and improve visibility.
Pillar 01
Inventory Visibility
ทำให้สถานะ stock, reorder risk และ usage trend อ่านง่ายและหยิบไปใช้ได้จริง
Pillar 02
Reporting Automation
ลดงาน manual ด้วย workflow, alerts และ reporting system ที่ใช้ได้ต่อเนื่อง
Pillar 03
Reliable Data
คิดแบบนักวิทยาศาสตร์: ตรวจสอบได้, trace ได้, และพร้อมใช้ตัดสินใจ
Current Focus
Building inventory reporting, dashboard views, and automation layers so teams can focus on decisions instead of chasing updates across spreadsheets and chats.
Story in 60 Seconds
From lab discipline to inventory and reporting systems
Rather than moving away from operations, I use technology to make operational work clearer: better stock visibility, better reporting, and less time spent stitching data together manually.
SGS Laboratory (2021)
Specialized in Amino Acid Profile testing and supported method readiness for accreditation.
Inventory & Reporting Systems
Built practical tools and bots to streamline reporting, stock tracking, and repetitive workflows.
R&D Formulation Work
Now focused on controlled-release fertilizer formulations with data-driven workflow improvement.
Analytics for Operational Decisions
Combining Python, SQL, Excel, Power BI, and AI tools for faster, more reliable reporting and operational visibility.