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Fereshteh Sadeghi Naieni Fard

Fereshteh Sadeghi Naieni Fard

Data scientist

Technology / Internet

Adams, Texas

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About Fereshteh Sadeghi Naieni Fard:

 Data scientist with demonstrated ability in collecting, analyzing, and interpreting data as well as developing data-driven optimization and mathematical models with a background in industrial engineering and 7+ years of experience as a data analyst with proficient knowledge in statistics, mathematics, and data analytics studying Information Science in the University of North Texas.

Experience

  • Implement data modeling for the bills calculation and financial records of the customers including implementation of the data dictionary and designing a database due to down to top strategy.
  • Leading a project to optimize energy cash flow from 14 days to 1 day. The project involved different aspects including developing a database for customers' detailed account information (TAVANIR Co), Developing an optimization model, and implementing programming and data management by deploying C#.net programming and SQL server. 
  • Centralizing decision-making project: Developing a database according to a bottom-up strategy involving data mining for certain features to visualize data and generate reports. Summarizing data by finding the trends and creating various reports for better decision-making by senior managers.
  • Automating report generating project: Analyzing data, finding patterns, and automizing report generating platform, using SQL and Oracle to generate daily reports for senior management. 

 

Education

Year

2022-In progress

2010 – 2013

2005-2009

2021

2020

2012

2021

Degree/Institution

MSc University of North Texas

MSc Islamic Azad University Tehran-South Branch

BSc, Islamic Azad University Tehran-North Branch

Certificate, Python programming, Sematec Co

Certificate, Oracle PL/SQL Programming, Sematec Co

Certificate, ISO9001-2008, Internal Editor, Mojtame Fani 

Certificate, Web design (HTML, CSS, Javascript, jQuery), Sematec Co

 

Major Focus

Information Science

Industrial engineering 

Industrial engineering

 

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