Bachelor of Science in Chemical Engineering
Mapua Institute of Technology
With 14 years of corporate experience as a Technical Specialist and Project Manager, I can bring a strong foundation in organization, data analysis and operational support. I am skilled in data research, reporting, and the effective use of Microsoft Tools to streamline process flow and support decision-making. I also possess basic experience in project costing and budgeting. My background allows me to work independently, manage priorities and effectively deliver high quality results on schedule.
Mapua Institute of Technology
Leads new product/process transfer between cross-functional team coordinating closely with Manufacturing, Engineering and R&D.
Works with R&D to design appropriate test matrices and experiments to support systems validation tests for new products and applications.
Perform method validations and transfer robust, cost-effective, and compliant test methods via documented procedures and training of Manufacturing personnel in the execution of the new products / applications.
Render assistance to the Technical Support team in the diagnosis and resolution of internal as well as customer / field issues.
Lead and supervise a team of 2 lab technicians who are responsible for raw material, in-process and finished goods testing.
Manage daily lab operations which includes schedules, data analysis and creating associated summary reports, and communicating findings to the Engineering Team.
Conducts raw material, in-process and finished goods testing.
Conducts Measurement System Analysis (MSA) on Process and Environmental Laboratory Procedures.
Conducts periodic Internal Quality, Environmental, Health and Safety, and Good Housekeeping Audits ( ISO 9001/ISO 14001/OHSAS 18001).
Deliver complex projects by managing cross-functional teams and resources ensuring it is within the schedule and budget.
Compile, organize and maintain structured datasets using Excel and other internal database.
Maintain accurate financial records, including accounts payable, accounts receivable, and general ledger entries.
Utilize tools to analyze large datasets. Use data analysis to optimize processes, reduce costs and improve operations.