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Marlc Wit Malig-on Engineer/Analyst

Philippines
• Failure Analysis of Printed Circuit BoardsHardware and Software) • Proficient in Spotfire UtilizationNetwork and Database Setup

·         15 total years of experience in an electronics company as Process and Failure Analysis Senior Engineer on a first class Hard Disk Drive manufacturing technology set – 9 years working outside the Philippines

·         3 years New Model Design Qualification and Evaluation Training in Japan

·         3 months New Model Design, Reliability Qualification and Evaluation Training in Thailand

·         Contributed on Repair Pass rate improvement for 2.5 and 1.8 inch HDD models to decrease Prime and Repair units pass rate gap.

·         Certified Six Sigma Greenbelt (Project Leader) for Six Sigma Applications (MI-Management Innovation)

·         Familiarity with different industrial tools and equipment’s such as Analog and Digital Oscilloscope

·         Certified Trainer for Entry and Intermediate Level Technology Courses

·         Failure Analysis Group Leader of HDD New Model Development and Qualification in Toshiba Philippines

·         5 Years Professional Perfect Attendance Awardee

·         Environment Management System(EMS) Certified Auditor

Education

1999-2004 Bachelors of Electronic and Communication Engineer at MAPUA

Experience

2018-2019 STRATEGIC PROJECTS STAFF ENGINEER at Western Digital Malaysia Sdn. Bhd

2018- 2019 STRATEGIC PROJECTS STAFF ENGINEER Western Digital Malaysia Sdn. Bhd
Petaling Jaya Selangor Malaysia
JOB SUMMARY Projects Deployment and Enhancement to interface with Product Engineering, Channel Integration and Analytics Teams for data analysis and reporting with Tools deployment and Triggering Systems.
DUTIES AND RESPONSIBILITIES

• Recording Subsystem (RSS) Analytics (SPC parameters/criteria, head/media component data trigger by wafer/sputter bay/sputter date as well as Drive level data)
• Tools management (characterization and summary)
• New Feature Exploration
• Focal point of Sustaining RSS End to End Data
• RSS feature management across products/sites
• Test time reduction
• Harvest big data analytics insight to breakthrough yield ceiling