Hongbo Yu

Address: **** ****** ***, **** *****, TX 76244; Cell: 817-***-****; Email: ac012n@r.postjobfree.com SUMMARY:

Passion for data analysis with working knowledge of statistical analysis and modeling;

Well-developed data analysis, quick learning, and problem solving skills;

Ability to handle multiple projects while taking ownership of job responsibilities;

Extensive working experience in multidisciplinary backgrounds; PROFESSIONAL CERTIFICATION:

SAS Certified Base Programmer for SAS 9.

PROGRAMMING and SOFTWARE SKILLS:

Programming language: Base SAS, R, Teradata SQL, and SQL

Data analysis and statistical tools: SAS EG, SAS EM, R, Excel, and Origin

Other software: proficient in use of Microsoft Office, including Excel, Word and PowerPoint EDUCATION:

Master of Science in Mathematics (General Statistics) (May, 2017) University of Texas at Arlington

Selected Course Work: Statistic methods, Mathematical statistics (I and II), Applied linear models, Mathematical analysis, Categorical data analysis, Survival analysis, Scientific computing, and Linear algebra

Ph. D. Institute of Physics, Chinese academy of science, Beijing (2004) Major: Condensed physics

M. S. Harbin Institute of Technology (Material Science), Harbin, China (2001) B. S. Zhejiang University (Material Engineering), Hangzhou, China (1997) WORK EXPERIENCE AND SELECTED PROJECTS:

BNSF Railway, Fort Worth, TX (Jan, 2017 - present) Internship, Operations Research Group

• Performed data collection, preprocessing, transformation, mining, and interpretation.

• Constructed statistical model to explain the effect of service performance on volume shipment based on descriptive statistics, granger causality and multiple linear analysis.

• Volume trends analysis and prediction, clarification of reasons for the volume variation.

• Made analysis on the train dwell time in classified stations, improved the accuracy of predictive model by machine learning method of neural network.

• Made suggestions and help decision makers to improve the business operation process and volume shipments.

University of Texas at Arlington (2016 - 2017)

Master thesis (available upon request): Use of generalized gamma distribution in modeling lifetime data

Summary: The generalized gamma distribution with right censoring is considered as the distribution for the lifetime (survival data):

• Did formal hypothesis testing to determine a particular distribution within generalized gamma family that provides adequate fit to the data.

• Carried out extensive Monte Carlo simulation study to demonstrate the performance of the estimation method and the flexibility of the generalized gamma family.

• Performed model discrimination and selection using likelihood ratio test and information- based criteria (AIC and BIC).

• Applied developed method on real data (lung cancer patients), further illustrated the performance of proposed method and flexibility of generalized gamma family. Enraytek Optoelectronics Co., Ltd, Shanghai (2011 - 2015) Technical manager, R&D division

• Led a team to successfully complete multiple projects on optimization of existing fabrication process and development of new technologies.

• Conducted data collection, manipulation and statistical analysis using SQL, SAS, and excel etc.

• Figured out the main factors which influence the product quality and yield based on statistical analysis results.

• Made decisions about evolutionary changes to improve yields and product quality.

• Summarized and interpreted results from statistical analyses and presented the technical reports internally and externally to individuals from different backgrounds. Nanotechnology Research Center, Bilkent University, Ankara, Turkey Research associate (2004 - 2006, 2009 - 2010)

• Researched and developed semiconductor devices with a team of engineers and technicians.

• Performed experimental data cleaning, transformation, and analysis using statistical tools.

• Led the development of the MOCVD process in semiconductor for various applications. School of ECE, Georgia Institute of Technology, Atlanta, GA, USA Research engineer (2007 - 2008)

• Conducted design of experiment and analysis of experimental data.

• Contributed multiple process generations of device characterization and development analysis.

• Trained graduate students in doing research and data analysis. HONORS AND AWARDS:

• Jiangsu innovative and entrepreneurial program, China (2014)

• Pujiang Shanghai talent program (2013)

• Outstanding employee award from Enraytek Optoelectronic Co., Ltd (2012)

• Prize on national Senior High School Mathematics competition (1993) SELECTED JOURNAL PAPERS:

1. Hongbo. Yu, M. Ozturk, and E. Ozbay, Experimental study of two-step growth of AlN film on 4H-SiC substrate by MOCVD (Journal of optoelectronic and advanced material 12 (2010) 2406- 2412)

2. Hongbo Yu, L. K. Lee, T. Jung, and P. C. Ku, Photoluminescence studies of {1-101} InGaN/GaN multiple quantum wells grown by metalorganic chemical vapor deposition, (Appl. Phys. Lett. 90, 141906 (2007))

3. Hongbo Yu, Erkin Ulker and Ekmel Ozbay, MOCVD growth and electrical studies of p-type AlGaN with Al fraction 0.35 (Journal of Crystal Growth, 289 419 (2006)) 4. Hongbo Yu, M. Kemal Ozturk, Suleyman Ozcelik, and Ekmel Ozbay, A study of high crystal quality semi-insulating GaN on AlN buffer/sapphire by MOCVD, (Journal of Crystal Growth. 293 273 (2006))

5. Hongbo Yu, H. Chen, Dongsheng Li, J. Wang, Z. G. Xing, X. H. Zheng, Q. Huang, and J. M. Zhou, Influence of threading dislocations on the properties of InGaN-based multiple quantum wells (Journal of Crystal Growth, 263 455 (2004))

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