Khadija Nezhari-Student Assistant

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Experience
Student Assistant
Technische Hochschule Deggendorf
- Implementing and optimizing TinyML models on edge devices
Student Assistant
Technische Hochschule Deggendorf
- Testing a web-based Flask app with Pytest
- Converting diagrams and graphics into TikZ code
Electrical Engineer
MIngenierie
- Designing electrical installations in buildings
- Preparing bids
- Technical customer support
Electrical Engineer Intern
Stadtverwaltung Temara
- Developing an efficient solution to ensure Temara's power supply until 2027
Intern, Fluid Engineering Department Assistant
Ibn Taymia
- Creating electrical and thermal balances in building construction
- Updating technical product catalogs
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Construction, Education, Information Technology, Energy, and Government and Administration.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Customer Service, Procurement, Product Development, Information Technology, Research and Development, and Quality Assurance.
Skills
- Data Analysis: Python (Pandas, Numpy), Sql, Excel
- Fpga Programming
- Data Visualization: Tableau, Power Bi
- Machine Learning: Scikit-Learn, Tensorflow, Pytorch
- Project Management: Scrum Agile
- Programming Languages & Frameworks: C++, Javascript, Html5, Css3
- Development Tools: Xcode, Visual Studio Code, Git
Languages
Education
Technische Hochschule Deggendorf
Master · Applied Computer Science and Machine Learning · Deggendorf, Germany
ENSMR
Engineering Degree · Electromechanical Engineering · Morocco
Ibn Taymia
Preparatory classes for engineering studies · Morocco
Certifications & licenses
Ventum Consulting, Munich
Data Analysis with Python
ReDI School of Digital Integration, NRW
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Khadija is based in Garching bei München, Germany.
Khadija speaks the following languages: Arabic (Native), French (Advanced), German (Intermediate), English (Intermediate).
Khadija has at least 3 years of experience. During this time, Khadija has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 1 year and 8 months. Note that Khadija may not have shared all experience and actually has more experience.
Based on recent experience, Khadija would be well-suited for roles such as: Student Assistant, Electrical Engineer, Electrical Engineer Intern.
Khadija's most recent position is Student Assistant at Technische Hochschule Deggendorf.
In recent years, Khadija has worked for Technische Hochschule Deggendorf.
Khadija is most experienced in industries like Construction, Education, and Energy. Khadija also has some experience in Government and Administration and Information Technology.
Khadija is most experienced in business areas like Product Development, Customer Service, and Procurement. Khadija also has some experience in Research and Development, Information Technology, and Operations.
Khadija holds a Master in Applied Computer Science and Machine Learning from Technische Hochschule Deggendorf, a Bachelor in Electromechanical Engineering from ENSMR and a Bachelor in Preparatory classes for engineering studies from Ibn Taymia.
Khadija has 2 certificates. These include: Power BI & Scrum Master and Data Analysis with Python.
The availability of Khadija needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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