Product Engineer CV Sample

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Eric Tim

Sr Engineer (NPI Product Engineer)

Summary

Sr Engineer in  Product Engineering Department with 10 years working experience with mining and manipulation of data. Knowledgeable in analytics and basic statistics tools which helped to analyze data and presents data in more effective ways like visualization thru Excel, JSL and SAS.

Skills

  • SQL Query
  • Base SAS
  • Microsoft Excel
  • JSL/JMP
  • Excel VBA

Work Experience

Sr Engineer (Product Engineer)

Western Digital – New York

Present

  • Greatly involved in data mining and manipulation using SQL Query, JSL and SAS.
  • Provides timely data result, analyzes and presents data visually using JMP, Excel Macro and SAS to provide accurate and reliable conclusion to product and process evaluations.
  • Create automated script for prompt and accurate data result especially those that needs quick response.
  • Provide simulation on yield and parametric for upcoming change in product’s specification.
  • Create product monitoring and performance trend  and communicate to internal customers, to provide and receive feedback to keep tracked and guide product development.

Education

Masters Computer Engineering

San Jose State University

Apr 2015


BS Computer Engineering

Northeastern University

Jan 2012


Project

Market Management System

Team Member

Sep 2011

Managing day to day operations seamlessly and timely SLA delivery and Responsible for designing MARKET HIERARCHY for the Global market as per client requirement. Projects for indexes like FMCG, BEVERAGE, and CIGARETTE by analyzing the sample change as well as universe change effects and calculate projection factors used to project the volumetric and numeric distribution to the universe. Reviewing and validating the output/trends after analysis across various levels such as markets, categories and manufacturers and refreshing the project as per client requirement

Online Grocery Basket

Team Member

Apr 2018

  • Created Power BI dashboard and have to provide insight from the dashboard
  • POC (Proof Of Concept) using Market Basket Analysis
  • Text Mining on online customer review and provide insight to client

Languages

  • English
  • French
  • Arabic
  • German

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