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Engineering Data Analyst

Location:
Irvine, California, United States
Posted:
October 19, 2018

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Resume:

Nooshin Zeinalizadeh

(permenant resident-green card holder)

** *** ********

Foothill Ranch, CA 92610

Cell: 949-***-**** ac7fpk@r.postjobfree.com Professional Summary

Passionate and talented engineer with BS of computer software engineering and MS of industrial engineering and data analytics. Hands-on using databae administration tools, data analytics for business systems, and programming languages.

Skills

Database administration (MySQL, SQL, Advanced Excel, MS Access): Highly skilled Data analytics (SPSS and MATLAB Artificial Nueral Netwroks toolbox): Highly skilled Programming languages (Python): Highly skilled (C, JAVA, HTML): Familiar Work Experiences

Computer Science-Data Engineering Student, 2017-July 2018 Irvine Valley College, Irvine, CA

SQL database administration including but not limited to queries development, for a sports products company (warehouse and retails)

Entity Relationship (ER) modeling and database design for a video company to develop the relational database

MS Excel: Formulate, use lookup commands, and make pivot table for a retail company’s sale database

Employees’ payroll data analysis using Python using the concept of class

Strategic planning for a cleaning product company based on the BCG matrix

Correlation between human’s emotional intelligence and personality types using SPSS Business Customer Satisfaction Data Analyst, 2011 to 2013 Saderat Bank – Tehran, Iran

Modeling and Analysis of Bank Customer Satisfaction and Proposing Businesses Management Solutions

Data collection from 436 randomly selected customers at 10 different branches of a bank using a questionnaire consisting of 51 questions

Exploratory factor analysis (EFA) on data to determine those factors that influence customer satisfaction

Multilayer perceptron Artificial Neural Network model design using the factor scores from the EFA, training and validating the neural network to predict the overall customer satisfaction

Development of a linear regression model to predict customer satisfaction using SPSS

Propose application of artificial neural network by bank management systems to prioritize different influencing factors that affect the overall satisfaction level of bank customers. Sales and Marketing Staff (volunteer activities due to be on student’s dependent visa at the time), 2013-2018 University Library, Irvine, CA and Michigan Tech University, Houghton, MI Sales associate for charity events, librarian, daycare assistance, and assistance at Canterbury house Technical Publication

N. Zeinalizadeh, A.A. Shojaie, and M. Shariatmadari. "Modeling and analysis of bank customer satisfaction using neural networks approach." International Journal of Bank Marketing 33.6 (2015): 717-732. https://www.emeraldinsight.com/doi/abs/10.1108/IJBM-06-2014-0070 Education

Computer Science Curricula: data engineering (4.0/4.0), 2018, IVC, Irvine, CA

MS: Industrial Engineering-Quality and Productivity Management (4.0/4.0), 2013, Azad University, Tehran, Iran

BS: Computer Software Engineering, 2007, Azad University, Tehran, Iran



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