Muhammad Salman Khaliq

Bis 2024, Bachelor Thesis, Advantest Europe GmbH

Student, Business and Engineering, Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt

Stuttgart, Deutschland

Über mich

I am a skilled Data Scientist and Machine Learning Engineer with a background in Python and C++ programming. My expertise lies in Computer Vision, Natural Language Processing, Time Series, and Reinforcement Learning. I am proficient in using ML and DL frameworks such as TensorFlow, Pytorch, Keras, SciPy (scikit-learn, Pandas, numpy), Matplotlib, and deployment tools such as Tensorflow Lite, Tensorflow.js, Tensorflow Hub, Tensorflow Serving, etc. I am passionate about AI and its applications in building an enhanced life. As a futurist, I am always looking for ways to innovate and push the boundaries of what is possible with AI.

Fähigkeiten und Kenntnisse

Machine Learning
Data Science
Data Analysis
Big Data
Artificial intelligence
Computer Vision
Business Intelligence
Computer Science
Cloud Computing
Python
R programming language
MySQL
Tableau
TensorFlow
PyTorch
Python pandas
Datenbank
Automation
Jira
English Language
Artificial neural networks
OpenAI ChatGPT

Werdegang

Berufserfahrung von Muhammad Salman Khaliq

  • 6 Monate, Okt. 2023 - März 2024

    Bachelor Thesis

    Advantest Europe GmbH
  • 7 Monate, März 2023 - Sep. 2023

    AI Automation Engineer

    Advantest Europe GmbH
  • 9 Monate, Juni 2022 - Feb. 2023

    Student Assistant - Database Developer

    Hochschule für Angewandte Wissenschaften Würzburg-Schweinfurt

    Creating, implementing and testing computer databases and databases programs for efficiency and performance as well as troubleshooting and correcting problems with them.

Ausbildung von Muhammad Salman Khaliq

  • Bis heute 3 Jahre und 8 Monate, seit Okt. 2020

    Business and Engineering

    Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt

Sprachen

  • Deutsch

    Grundlagen

  • Englisch

    Fließend

  • Urdu

    Muttersprache

Interessen

Blockchain
Psychology
Sports
ETFs
Travel
Reading
Music
Art
New Technologies
AI

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