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Fahimeh Jomhoori

Junior Data Analyst / Business Intelligence Developer, Mashhad, Iran (Freelance) Information Technology Technician, Pooyandegan Resalat Institute, Mashhad, Iran (Full time). Master, Robotic Engineering, Shahrood University of Technology, Shahrood, Iran. Experience in Python and open-source libraries (Numpy, Pandas, Matplotlib, Seaborn, scikit-learn). Experience in data visualization with Microsoft Power BI (DAX, MDX, Power Query). Experience in query writing in Microsoft SQL Server. A diligent researcher, detail-oriented, dedicated team member. Nationality and Citizenship (Iranian). Communication in English (Academic IELTS: 6.5 - Speaking: 7), German (B1).
Living in : Iran
Gender : FemaleRace : Middle Eastern
Academic Profile
Posts

Contact Information

-Email
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FahimehJomhooriApplyChance Link

Educations

Shahrood University of Technology logo
Robotics EngineeringMaster'sShahrood University of Technology2015-02-07 Iran
Title :
Time and frequency domain feature extraction from Persian speech signals (FarsDat database) to improve performance of a Voice Activity Detection (VAD) system in human-robot interaction
Sadjad Institute of Higher Education Mashhad logo
Computer EngineeringBachelor'sSadjad Institute of Higher Education Mashhad2007-10-08 Iran
Title :
Designing and implementing a 3D and under network game

Work Experiences

Junior Data Analyst & Bus
at Freelance
I am currently working in this role
Teacher Assistant
at Shahrood University of Te
Start : 19-Sep-2013
End : 29-May-2014
IT Technician
at PR Institute
Start : 19-Apr-2015
End : 14-Sep-2022

English Scores

IELTS06-Jan-2023
6.5/9Total
Reading :
5.5/9
Speaking :
7/9
Listening :
6.5/9
Writing :
6/9

Conferences

Your Presentation Title :
a Voice Activity Detection (VAD) system based on Bark Frequency Cepstral Coefficients (BFCC) feature extraction method to improve the performance of Speaker Recognition system
Conference Name :Computer Society of Iran 2015
Iran
2015
Your Presentation Title :
using Perceptual Linear Prediction (PLP) feature extraction method to improve the performance of a Voice Activity Detection (VAD) system
Conference Name :Acoustics and Vibration 2014
Iran
2014

Awards

First Rank Student in UniversityMaster
scholarshipscholarship2012-08-31