Zahra Atashgahi

Zahra Atashgahi Email and Phone Number

Data Scientist @ IKEA
Amersfoort, UT, NL
Zahra Atashgahi's Location
Amersfoort, Utrecht, Netherlands, Netherlands
About Zahra Atashgahi

As a Ph.D. candidate specializing in machine learning, my primary focus is to enhance neural network efficiency through sparsity and feature selection. With over seven years of background in machine learning, deep learning, and Python, my passion lies in crafting innovative machine learning solutions designed to tackle real-world challenges. During my Ph.D., I've published several papers in top-tier machine learning conferences and journals such as MLJ, TMLR, NeurIPS, ICLR, ECML-PKDD, and IJCAI. My experiences during my Ph.D., including a research visit at the University of Cambridge and an internship at Booking.com, have strengthened my expertise, preparing me for impactful research and practical problem-solving. Please find more information at https://zahraatashgahi.github.io/.

Zahra Atashgahi's Current Company Details
IKEA

Ikea

View
Data Scientist
Amersfoort, UT, NL
Website:
ikea.com
Employees:
90454
Zahra Atashgahi Work Experience Details
  • Ikea
    Data Scientist
    Ikea
    Amersfoort, Ut, Nl
  • University Of Twente
    Doctoral Student
    University Of Twente May 2020 - Apr 2024
    Enschede, Overijssel, Netherlands
    - Seeking for computational, memory, and energy efficiency in artificial neural networks. - Developing novel and energy-efficient techniques to select features from high-dimensional data- Gaining hands-on experience with Python, PyTorch, Tensorflow, and Kears for developing and training deep learning models.
  • Booking.Com
    Machine Learning Scientist Intern
    Booking.Com Jul 2023 - Sep 2023
    Amsterdam, North Holland, Netherlands
    - Personalized Marketing: Exploring the Integration of Behavioral User Features to EnhanceDecision-Making in Marketing.- Reading and pre-processing data with PySpark- Finding relevant behavioral user features using various statistical and deep learning-based feature selection methods- Analysing the effect of adding user features on the predictive performance of several marketing tasks
  • University Of Cambridge
    Visiting Researcher
    University Of Cambridge Jan 2023 - Apr 2023
    Cambridge, England, United Kingdom
    Investigating the performance of sparse neural networks in improving the prediction performance on tabular data
  • Eindhoven University Of Technology
    Doctoral Student
    Eindhoven University Of Technology Oct 2019 - Apr 2020
    Eindhoven, North Brabant, Netherlands
  • Amirkabir University Of Technology - Tehran Polytechnic
    Teaching Assistant, Internet Engineering
    Amirkabir University Of Technology - Tehran Polytechnic Oct 2017 - Dec 2017
  • Amirkabir University Of Technology - Tehran Polytechnic
    Teaching Assistant, Computer Networks
    Amirkabir University Of Technology - Tehran Polytechnic Feb 2017 - Jun 2017

Zahra Atashgahi Skills

Mysql Proteus Matlab Java Script Data Analysis English Deep Learning Cascading Style Sheets Natural Language Processing Html Microsoft Office Latex Java C++ Virtuso Sql Python Machine Learning Simulink Atmel Avr Data Mining

Zahra Atashgahi Education Details

Frequently Asked Questions about Zahra Atashgahi

What company does Zahra Atashgahi work for?

Zahra Atashgahi works for Ikea

What is Zahra Atashgahi's role at the current company?

Zahra Atashgahi's current role is Data Scientist.

What schools did Zahra Atashgahi attend?

Zahra Atashgahi attended University Of Twente, Eindhoven University Of Technology, Amirkabir University Of Technology - Tehran Polytechnic, Amirkabir University Of Technology - Tehran Polytechnic.

What skills is Zahra Atashgahi known for?

Zahra Atashgahi has skills like Mysql, Proteus, Matlab, Java Script, Data Analysis, English, Deep Learning, Cascading Style Sheets, Natural Language Processing, Html, Microsoft Office, Latex.

Who are Zahra Atashgahi's colleagues?

Zahra Atashgahi's colleagues are Cláudia Martins, Praveen Pudari, Sigrid Kjell, Alica Racká, Rosihan Ibnu Alief, Jeehye Han, Lydie Riemain.

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