
Steve Chen
Program Analyst

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About me
NVIDIA Certified Instructor
Education

NVIDIA Deep Learning Institute
2020 - 2020NVIDIA Certified InstructorDLI PLATFORM COURSE FOR INSTRUCTORSFUNDAMENTALS OF DEEP LEARNING FOR COMPUTER VISION

NVIDIA Deep Learning Institute
2019 - 2019NVIDIA Developer Certifications Computer Vision, CUDA Python, Multiple Data Types, JETSON NANO
SAP Partner Academy
1998 - 1998Certificate: Certified SAP R3 Production Planning Consultant, 1998
University at Buffalo
1987 - 1989Master Industrial EngineeringActivities and Societies: Academic Computing Services

DePaul University
1990 - 1991Master Computer Science
Chung Yuan Christian University
1981 - 1986Bachelor Industrial Engineering
Experience

Illinois Criminal Justice Information Authority
Jan 1991 - Jan 1992Program AnalystClient-server application program development.

Ibbotson Associates
Jan 1992 - Jan 1994Senior Program Analyst
First Options of Chicago
Jan 1994 - Jan 1995Senior Program Analyst
AdvancedTEK International Corp
Jan 1997 - Jan 1998ConsultantNotes implementation. Notes and SAP integration.

Arthur Andersen Business Consulting
Jun 1999 - Sept 2000Senior ConsultantSAP and business consulting

Cheng Loong Corp.
Feb 2006 - Jun 2011Senior SAP Consultant and Project ManagerSAP and business consultingSAP project: https://sites.google.com/site/stevessschen/projectSAP Discrete Industries and Mill Products (DIMP)..SAP for Mill Products....Paper and Packaging Industry...... Specialized in Variant Configuration1. In charge of 2 SAP Enterprise roll out projects in Optoelectronic Industry (正太科技, ITO glass) and Fiber and Composite Materials Industry (科隆工業): My role as Project Manager + PP consultant, managed more than 10 team members (管理專案團隊人數 > 10人).2. 2009 SAP China-rollout project:- Industry: Paper Mold (富發)- Roles: served as project advisor + PP consultant sharing industrial experience gained from SAP rollout project for "Fiber and Composite Materials Industry”.- Business Processes: Configure-to-Order / Super BOM & Routing / Standard price vs. Moving average / Recipe & Scrap Management / WIP3. SAP Monthly Closing within one day (一日月結)- Goal: Pushed the time consumed for Monthly Financial Closing to one day.4. Inter-company transactions (cross company trade)- Goal: tracking and solving financial discrepancies, due to the entry timing of transactions and process of single billing with multiple D/N, etc., among companies residing in same SAP client.5. SAP interface to 3rd party value added tax program (中國大陸稅控接口)6. Collaborative Design through utilizing Product Lifecycle Management (PLM)- Participated in Business Processes Re-engineering. (經濟部科技研究發展專案 - RFID紙箱設計測試服務平台)7. Customer Relationship Management (CRM) implementation- Reviewed theory and formula of CRM.8. SCOR implementation- Sketched out Enterprise Infrastructure by referring SCOR model.9. Evaluated X-Trim (Greycon), a paper and film industry leading trim optimization software: Installed and configured X-Trim. Trained planner to model paper machine. Compared trim result generated from X-Trim and result done manually.10. Evaluated VCPowerPack (AiCOMP), an SAP add-on solution for product configuration in corrugated packaging industry. Examined its best practices. Show less

N/a
Sept 2012 - nowIndependent ConsultantIndependent Consultant. (Business consulting in the area of SAP/ERP, IoT, RFID, SCM, CRM, BI, PLM, SIS, e-Business and best Business Processes)Services provided as follows: SAP Business Consulting (https://sites.google.com/site/stevessschen/consulting) SAP Project: (https://sites.google.com/site/stevessschen/project)

National Taipei University of Technology
Sept 2012 - nowIndustry Expert/Adjunct Lecturer
NTUT Industry 4.0 Consulting Group
Jan 2016 - nowProject Manager & co-founderSteve is leading a team currently delivering AI Train & Coach Program, helping companies apply AI Machine Learning Tools to solve their industries problems,ranging from AOI+AI defects inspection to nding critical factors causing low yield rate.NTUT Industry 4.0 Consulting Group specializes in the area of utilizing Big Data tools (SAP, Python, autoML) to improve yield and overall equipment effectiveness. Construct a Big Data analysis model to identify suspicious equipment, and proceed to next step to find key inferencing factors that cause low-yield. Assist in planning, promoting, implementing industry 4.0. We have Big Data practical project experience in electronics, textile, LED and semiconductor industry. Our team's philosophy: Big data + Machine Learning => Intelligent Enterprise. (北科工業4.0顧問團隊專精於應用大數據工具 (SAP, SAS, R) 提升良率與稼動率。建構大數據分析模式,把造成低良率的機台識別出來,進而找出造成低良率的關鍵因素。協助企業規劃、推動、執行與導入工業4.0。大數據實務專案經驗在電子電機、紡織、LED與半導體產業。我們團隊的理念:大數據 + 機器學習 => 智慧企業。) Show less
Licenses & Certifications
- View certificate

Introduction to AI in the Data Center
NVIDIANov 2021 - View certificate

Getting Started with AI on Jetson Nano
NVIDIAApr 2022
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