Software and Programming Languages: R, Python, Numpy, Scipy, jupyter

NEDA ZARAYENEH

acyz2m@r.postjobfree.com 903-***-****

WORK EXPERIENCE:

Research Assistant: Department of Computer Science Texas A&M University. Fall 2015 - Present

Work on different projects with the most knowledgeable professors

Using regression and other statistics methods

Analyzing results using statistic methods

Using machine learning methods.

Coding in R, python, and other languages.

Work on a project with a huge dataset (Genome data) and introduce a new method to interpret it.

Bank officer in Tourism Bank, Tehran, Iran 2014-2015

Evaluate the reliability of customers to assign loan.

Master of quality control in a data processing company, Respina, Tehran, Iran 2013-2014

Using SPSS for evaluating the performance of company and staff, data was from questionnaire and gained information from CRM

Mathematics and Statistics Instructor: University of Parand, Iran 2010-2015

Taught multiple Calculus courses and Introduction to Probability and Statistics.

EDUCATION:

Master of Computer Science - GPA: 4.00, expected May 2017

College of Science and Engineering, Computer Science and Information Systems

Texas A&M University Commerce, TX

Thesis Title: Multi-Omics Based Gene Regulatory Network Inference (will defend on May 2017).

Master of Science in Applied Mathematics- GPA: 4.00, May 2011

University of Tehran, Tehran, Iran, Operations Research.

Thesis Title: Biobjective minimum cost in network flow problems.

TECHNICAL SKILLS

Software and Programming Languages: R, Python, Numpy, Scipy, jupyter notebook, C++, Java, SPSS, SQL, MySQL, Oracle, Hadoop, GitHub, Microsoft Office, Latex.

Other: cleaning and manipulating data, data visualization, interpreting result via statistic methods, data mining.

Machine Learning: Supervised and Unsupervised Learning, classification, regression, clustering, Random Forests, Neural Networks.

Statistical Methods: statistical inference, and multivariate testing, regression models, hypothesis testing and confidence intervals, principal component analysis and dimensionality reduction.

Having a logical approach to problem solving.

Knowledge of big-data environments

Knowledge of object oriented programming.

PUBLICATIONS:

Neda Zarayeneh, Sang C. Suh, Mingon Kang. “Multi-Omics Based Gene Regulatory Network Inference” The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Dec 15-18, 2016, Shenzhen, China. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7822711

Jung-Gyu Yoon, Neda Zarayeneh, Sang C. Suh. “The Survey of Sexual Functions for Korean Stroke Patients: Random Forest and Boosting Algorithm” Journal of Physical Therapy Science (submitted)

Byeong-Mo Cho, Neda Zarayeneh, Sang C. Suh. “Efficacy of a Newly Designed Pelvic Belt Orthosis in adults with Post-Stroke Hemiparesis” Journal of Physical Therapy Science (submitted)

H. salehifathabadi, N. Zarayeneh, A. Moallemi. “A New Method for Solving Constrained

Biobjective Shortest-Path Flow Problem” in the ECCO XXV 25th Conference of European Chapter on Combinatorial Optimization, April 26-28, 2012 Antalya, Turkey.

N. Zarayeneh (2013), General Mathematics 2, Tehran, Iran.

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