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Nayeem HaiderNH

Nayeem Haider

Student Research Assistant

130 €/Tag
Kassel, DE
0-2 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Nayeem

I have a strong interest in data science, machine learning, software development and Python programming. My experience as a student research assistant has allowed me to apply these skills in real-world projects, while my role as a student assistant in web development has broadened my technical expertise. Overall, I bring a combination of practical research experience and technical knowledge that makes me well-prepared for challenging projects in these areas.
  • Englisch

    Muttersprachlich oder zweisprachig

  • Deutsch

    Konversationssicher

Nur remote
Führt Projekte hauptsächlich remote aus

Projekt- und Berufserfahrung

  • Department of Intelligent Embedded Systems University of Kassel
    Student Research Assistant
    Februar 2025 - Heute (1 Jahr und 4 Monate)
    Work: Working on VERANO project which is coordinated by Infineon Technologies AG along with 11 other institutions. The work aims to study how to process data efficiently in digital radar networks for fully automated driving. It focuses on using AI methods and balancing the computing load between network controllers, sensors, and central computers. Currently assisting the investigation of Machine Learning solution of denoising the phase noise generated from Phase-Locked Loop synthesizer (PLL).
  • Department of Theoretical Computer Science Complex System University of Kassel
    Student Research Assistant
    BILDUNG & E-LEARNING
    April 2023 - Januar 2025 (1 Jahr und 9 Monate)
    Kassel, Deutschland
    Work: Grading the course work (Introduction to Programming) of an undergraduate program along with contributing to internal research.
  • Department of Transport Engineering and Logistics University of Kassel
    Student Research Assistant
    April 2024 - Dezember 2024 (8 Monate)
    Work: Time series data analysis to understand the pattern. Integration of feature selection algorithms to identify the best set of features for training the model. Tuning the hyperparameters of XGBoost model to improve prediction accuracy.

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Ausbildung und Abschlüsse

  • MSc. In Electrical Communication Engineering
    University of Kassel
    2025
    MSc. In Electrical Communication Engineering
  • BSc. In Electrical and
    Independent University
    2015
    BSc. In Electrical and

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