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Python, R, SQL, SAP

Location:
Dallas, TX
Salary:
50000
Posted:
October 31, 2020

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Resume:

Po-Chih (James) Chen

+1-562-***-****; adhfyz@r.postjobfree.com ; www.linkedin.com/in/pochihchen

EDUCATION

The University of Texas at Dallas, Texas, U.S.A. Jan 2018 – Aug 2020 M.S., Business Analytics; M.S., Accounting (Core Course) GPA 3.52

Relevant courses: Business Analytics with R, Database Foundations with MySQL, Statistics and Data Analysis, Prescriptive Analytics, Applied Econometrics, Predictive Analytics using SAS, Programming for Data Science, Object-Oriented Programming in Python, Intermediate and Advanced Accounting, Individual Corporate Taxation National Chengchi University, Taiwan Sep 2009 – July 2012 M.S., Public Administration GPA 4.00

National Taiwan University, Taiwan Sep 2005 – July 2009 B.S., Political Science GPA 3.51

CERTIFICATIONS AND TECHNICAL SKILLS

Analysis Tools: SAS (Enterprise Miner), Stata, Google Analytics Software and Database: Python, R, SAS Programming MS Access, Tableau, MySQL, Oracle Operation System: Linux, Ubuntu Linux, Mac OS, SAP ERP Certification: Machine Learning with Python (Coursera) Languages: Mandarin (Native), English (Fluent), and Japanese (Conversational, N4) BUSINESS EXPERIENCE

Samsung Electronics America, Dallas, Texas Jan 2020 – Present Financial Data Analyst

• Decreased 20% time in auditing invoices in simplifying the process by using Excel VLOOKUP.

• Increased 10% performance by auditing the transportation invoice and examined the accuracy.

• Prepared monthly forecast of logistics cost and weekly report and monthly report.

• Audited and analyzed costs and other business performances and provide management information.

• Verified data between warehouse & sales systems in SAP by validating data integrity. John Lee Insurance, Dallas, Texas June 2019 – July 2019 Data Analyst

• Claimed 80% accounts receivables back and gained $10,000 USD by analyzing the customer lists with Python.

• Found potential customers around Dallas by visualizing with Tableau.

• Save 10% time of processing time by analyzing demographic information of operation cycle.

• Decreased 15% time in building customers files by simplifying the process. National Audit Organization, New Taipei City, Taiwan June 2014 – Dec 2017 Auditor

• Solved an account receivable problem of $70,000 USD in the New Taipei City Government system by using GBA (Government Budget Accounting Information Management System)

• Analyzed and resolved a fruit and vegetables company financial issue worth $600,000 USD

• Evaluated the financial performance and audited the budget of the New Taipei City Agricultural Department ACADEMIC PROJECT

Kaggle Case Competition-Titanic: Machine Learning from Disaster with Python May 2019 – July 2019

• Analyzed the data and developed model of prediction in machine learning

• Predicted accuracy of 82.94% and won on top 12% of the prediction among all groups MLB Prediction: How to Help Texas Rangers Back to the Glory with R

• Visualized the winner group in MLB by using K-means cluster analysis and hierarchal cluster analysis.

• Predicted the win-percentage of Texas Rangers in 2020 and recommended to purchase free agents from the free markets.

• Analyzed the correlation with revenue and playoffs Eligibility: (F1) Eligible to work in the U.S. for internships and for full-time employment for up to 36 months without sponsorship



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