Navigation überspringen

Mohammad Dawas

is working from home. 🏡

Angestellt, Graph ML Engineer, ArangoDB
Abschluss: Masters of Scientific Computing, 1.0, Ruprecht-Karls-Universität Heidelberg
Baden-Baden, Deutschland

Fähigkeiten und Kenntnisse

Data Science
Machine learning
Python
Software Development
Software Testing
Java
C++
MatLab
Statistics
Network Analysis
Data Analysis
Data Mining
TensorFlow
Keras
Numpy
Probability Theory

Werdegang

Berufserfahrung von Mohammad Dawas

  • Bis heute 8 Monate, seit Okt. 2024

    Graph ML Engineer

    ArangoDB

  • 1 Jahr und 8 Monate, Nov. 2022 - Juni 2024

    Data Scientist

    choreograph

    World is connected. Relations are found between different types of entities in all fields. These relations form networks that are represented as graphs, which are ubiquitous in our world. In Choreograph, we are building a super graph that connects data entities together along with their traits and harness the power of graph representation to solve problems such as data fusion, enrichment and segmentation by designing proper prediction tasks in a privacy-first approach.My role extends from implementing algor

  • 2 Jahre und 7 Monate, März 2020 - Sep. 2022

    Data Scientist

    Blue Yonder GmbH

    Supply Chain management needs to be automated, utilizing the data that organizations have allows us to predict, analyze, optimize and solve the problems they face on their way to fully-automated supply chain. Here, data scientists come in play, we build the pipeline to digest large amounts of data and then use optimization algorithms that we design, implement and maintain to deliver best results to our clients. We work a lot with Python and its ecosystem such as Pandas, Numpy and Dask to build our pipeline.

  • 1 Jahr und 5 Monate, Okt. 2018 - Feb. 2020

    Data Science - Working Student

    SAP

    - Developing and working on various data science and machine learning problems in computer vision, image processing. - Developing and training neural network models using Keras, Tensorflow. - Integrating the trained models into the production code.

  • 1 Jahr und 9 Monate, Jan. 2017 - Sep. 2018

    Student Research Assistant

    Ruprecht-Karls-Universität Heidelberg

    - NLP Pipeline updating and maintenance using UIMA framework. - Modifying Java components to apply various NLP tasks such as Named Entity Recognition, Part Of Speech tagging, Temporal tagging. - Developing wrappers for Stanford CoreNLP annotator, HeidelTime tool - Using build automation and dependency management tools like Gradle - Modify and maintain network extractor and builder

  • 4 Jahre und 2 Monate, Juli 2012 - Aug. 2016

    Software Quality Assurance Engineer

    Systems and Electronics Development FZCO.

    Testing new products implemented. Testing new features added to the system. Testing desktop and web applications. Applying different types of testing on software and hardware. Follow up with the fixes and auditing the resolved issues. Prepare test plans and test cases document. Check the business requirements and business use of the feature. Suggesting enhancements to the system based on the business use of the system. Reply and respond to support cases from production environment.

Ausbildung von Mohammad Dawas

  • 3 Jahre und 5 Monate, Okt. 2016 - Feb. 2020

    Scientific computing

    Ruprecht-Karls-Universität Heidelberg

    - Complex Network Analysis and Network Science - Knowledge Discovery in Databases - Advanced Topics in Text Mining - Statistical Data Analysis - Object Oriented Programming for Scientific Computing

  • 4 Jahre und 10 Monate, Sep. 2007 - Juni 2012

    Electrical Engineering

    University of Jordan

    - Embedded systems - Digital Signal Processing - Probability and Random variables - Communication Filters design - Digital Electronics.

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Arabisch

    Muttersprache

XING – Das Jobs-Netzwerk

  • Über eine Million Jobs

    Entdecke mit XING genau den Job, der wirklich zu Dir passt.

  • Persönliche Job-Angebote

    Lass Dich finden von Arbeitgebern und über 20.000 Recruiter·innen.

  • 22 Mio. Mitglieder

    Knüpf neue Kontakte und erhalte Impulse für ein besseres Job-Leben.

  • Kostenlos profitieren

    Schon als Basis-Mitglied kannst Du Deine Job-Suche deutlich optimieren.

21 Mio. XING Mitglieder, von A bis Z