AS

Asad Syed

Available to hire

I am Asad Syed, a Master’s student in Electromobility at FAU, with a strong focus on machine learning, AI, data science, and predictive analytics.

About

I am Asad Syed, a Master’s student in Electromobility at FAU, with a strong focus on machine learning, AI, data science, and predictive analytics. I combine a solid mechanical engineering foundation with hands-on experience in ML, 3D visualization, NDT data pipelines, and cross-functional collaboration in Agile environments.
I enjoy solving real-world problems at the intersection of hardware and software, thrive in interdisciplinary teams, and am fluent in English and German. I am actively seeking opportunities to apply ML-driven insights to manufacturing, mobility, and automation challenges.

  • 3 years' experience
  • Joined October 2025

Industry experience

  • Software & Internet
  • Manufacturing
  • Professional Services
  • Education
  • Media & Entertainment

Work experience· 10 roles

Master Thesis Student · DSS, Schaeffler & FAPS-Chair, FAUAug 2025 – Oct 2025 · 3 mos

Developed a 3D visualization tool integrating 2D ultrasonic scans with part geometry using Python and Azure Machine Learning Studio, enabling predictive defect detection. Performed signal quality analysis and feature extraction to improve predictive anomaly detection models.

Master Thesis Student · DSS, Schaeffler & FAPS-Chair, FAUAug 2025 – Oct 2025 · 3 mos

Developed a 3D visualization tool integrating 2D ultrasonic scans with part geometry using Python and Azure Machine Learning Studio, enabling predictive defect detection. Performed signal quality analysis and feature extraction to improve predictive anomaly detection models.

Working Student in Data Science and Machine Learning · DSS, SchaefflerJan 2025 – Oct 2025 · 10 mos

Automated ingestion and transformation of high-frequency Non-Destructive Testing sensor data into ML-ready Parquet datasets in Azure Synapse for predictive maintenance models. Integrated rail-bearing sensor data from the Conditional Analyzer into Digital Twin pipeline infrastructure to support fault prediction and maintenance analytics. Delivered solutions in an Agile cross-functional team.

Working Student in Data Science and Machine Learning · DSS, SchaefflerJan 2025 – Oct 2025 · 10 mos
Project Thesis Student · FAPS-Chair, FAUNov 2024 – Oct 2025 · 1 yr
Project Thesis Student · FAPS-Chair, FAUNov 2024 – Oct 2025 · 1 yr
Data Science Intern · IFT, TU WienApr 2024 – Oct 2025 · 1 yr 7 mos
Data Science Intern · IFT, TU WienApr 2024 – Oct 2025 · 1 yr 7 mos

Education· 5

M.Sc. in Electromobility · Friedrich-Alexander-University (FAU)2022 – 2025
Artificial Intelligence (AI) · Friedrich-Alexander-University (FAU)2022 – 2025
B.Tech in Mechanical Engineering · Sree Vidyanikethan Engineering College2017 – 2021
M.Sc. in Electromobility · Friedrich-Alexander-University (FAU)2022 – 2025

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