Fatemeh Kakaee

My analytical mindset has led me to identify the appropriate solutions in organizations during my 13 years of experience in software analysis and business problem-solving. Developing new IT solutions or enhancing existing systems requires a high level of technical expertise and a clear understanding of the business. My passion for data science and desire to apply my analytical skills in the medical and industrial fields led me to learn data mining in the last six years. Flexibility, effective communication, and teamwork have always been highlights of my work-life balance. Despite my motivation to keep learning and improving in my areas of interest, my greatest concern has always been contributing to the general development of human beings, which has always been my driving force.

Living in : Iran

Gender : FemaleRace : White

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Academic Profile

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Contact Information

-Email

Farnaz KakaeeSkype ID

FatemehKakaeeApplyChance Link

Educations

Computer EngineeringMaster'sIslamic Azad University Mashhad2017-02-14 Iran

Supervisor's name :Dr. Mohammad Hossein Moattar

Title :

Prediction of patient survival after liver transplantation using Weighted-ELM

Work Experiences

Software Programmer

at Rahbar system Arian

I am currently working in this role

Research Engineer/Part-ti

at Reza Radiation Oncology

I am currently working in this role

Research Associate

at Azad university of Mashad

Start : 14-Feb-2014

End : 14-Apr-2015

Software Engineer

at Rayvarz Shargh

Start : 14-May-2013

End : 14-Feb-2017

English Scores

Doulingo15-Jun-2023

120/160Total

English Certificate (Doulingo)

Journal Publications

Publication Title :

A Review on Software Mapping Techniques for Designing NOC using Heuristic TransformativeFirst author

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Publication Title :

Fuzzy Approach for Improving Performance of in Process ModelingFirst author

Link :

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Publication Title :

Predict and Prioritize Orthopedic liver transplantation patients through a combinational machine learning frameworkFirst author

Link :

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Publication Title :

prediction method for liver transplantation with multi-view learningFirst author

Link :

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References

Mohammad Hossein Moattar

moattar@mshdiau.ac.ir

Hamid Tabatabaee

h_tabatabaee@mshdiau.ac.ir