Pooneh Khodabakhsh

xperienced SQL Developer with 3 years of progressive expertise in database development, data management, and software engineering. Holds a Master's degree in Computer Engineering specialized in Machine Learning and Computer Science. Proficient in Python, R, C/C++, C#, and SQL (PL SQL, T-SQL), with extensive experience in MATLAB, SPSS, RapidMiner, and Power BI. Skilled in bioinformatics tools such as Auto Dock and Pymol. Passionate about continuous learning and dedicated to making impactful contributions in computer science and machine learning.

Living in : Iran

Gender : FemaleRace : Middle Eastern

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Educations

Computer EngineeringMaster'sIslamic Azad University South Tehran2014-09-16 Iran

Work Experiences

Senior SQL Developer

at Dana System Kish

I am currently working in this role

Graduate Research Assista

at Dr. Maryam Khademi

I am currently working in this role

Software Testing Engineer

at Rayan Partoo Company, Teh

Start : 14-Sep-2014

End : 14-Jan-2016

Data Management Specialis

at Dana Energy

Start : 09-May-2017

End : 16-Dec-2020

English Scores

IELTS01-Jan-0001

6.5/9Total

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Conferences

Your Presentation Title :

Minimizing wireless sensors’ energy consumption for net zero energy building

Conference Name :Solar Energy (ICESE-2017)

Iran

2017

Journal Publications

Publication Title :

Prediction of in-hospital mortality rate in COVID-19 patients with diabetes mellitus using machine learning methodsFirst author

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Publication Title :

LRC: A new algorithm for prediction of conformational B-cell epitopes using statistical approach and clustering methodFirst author

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Publication Title :

Minimising wireless sensors’ energy consumption for net zero energy buildingFirst author

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Publication Title :

Interval-based Solar PV Power Forecasting Using MLP-NSGAII in Niroo Research Institute of IranFirst author

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Publication Title :

Finding Influential Individuals in Social Network Graphs using CSCS Algorithm and Shapley Value in Game TheoryFirst author

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Research Keywords

Machine Learning

Bioinformatics

Data analysis

Computer Sciecne