Mohammad Dawas Email & Phone Number
@choreograph.com
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Who is Mohammad Dawas? Overview
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Mohammad Dawas is listed as Graph ML, NLP at ArangoDB, a with 44 employees, based in Baden-Baden, Baden-württemberg, Germany. AeroLeads shows a work email signal at choreograph.com and a matched LinkedIn profile for Mohammad Dawas.
Mohammad Dawas previously worked as Graph ML Engineer at Arangodb and Data Scientist at Choreograph. Mohammad Dawas holds Master Of Science (Msc), Scientific Computing, 1.0 (Excellent) from Heidelberg University.
Email format at ArangoDB
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AeroLeads found 1 current-domain work email signal for Mohammad Dawas. Compare company email patterns before reaching out.
About Mohammad Dawas
A highly motivated data scientist, keen to learn new skills and gain more experience. I worked previously as a research assistant and software engineer. Currently working a lot with statistics, probability and optimization.I am Passionate about studying the math behind ML models and techniques and not only applying them. Trying to implement these models myself, of course I do not always succeed. Currently learning Rust, and refreshing my NLP knowledge.Working with the following technologies right now:- Python and C++ programming languages.- Pandas, Numpy, Jupyter notebook in data science stack- SQL, Exasol and Kartothek in terms of data loading and management- Docker for containerization.
Listed skills include Software Quality Assurance, Testing, Teamwork, Java, and 21 others.
Mohammad Dawas's current company
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Mohammad Dawas work experience
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Data Scientist
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 algorithms to generate graphs from relational data model, learn the representation of these graphs and apply proper prediction tasks on them, to build a super ontology to connect different domains using Knowledge Graph technology along with GenAI to help us partially automate the ontology generation process.We use different techniques for graph representation such as GNNs using PyG library, Google VertexAI for LLMs and the rising superstar Langchain to ease building pipelines that benefit from the LLMs.Tasks such as NER and conversational AI are part of our stack.
Data Scientist
Have you ever wondered, how your favourite grocery store is always able to make sure that its customers always get the goods they want fresh and without going out of stock with minimum possible waste under certain constraints, such as shelf life, back room capacity, distribution center capacity etc.?Here where 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 extensively with probability theory and optimization theory to predict the demand and use it to solve the replenishment problem for our clients. Of course, it's a constrained optimization problem, which makes it a bit harder than expected and brings many challenges to our plate.We meet our clients regularly to understand their problems and needs and convert those to formal business requirements and ultimately provide them solutions.We work a lot with Python and its data science ecosystem such as Pandas, Numpy and Dask to build our pipeline. Optimization algorithms have to be fast, type safe, therefore we love C++ there (maybe we should modernize some day?).
Data Science, Working Student - Hana Spatial Services
I worked extensively on object detection model using deep learning techniques. Satellite and drone images are at the center of our interest. We used YOLO model and we had to use an open source implementation and adapt it a little bit to match our use case, specifically the evaluation metric. The main reason to use YOLO was its performance and ability to process a high number of frames per second.After building the model we incorporate it to our production code and started using it on customer data and gradually replace their old system.
Student Research Assistant - Database System Research Group
As a student research assistant, diverse interesting tasks are available to work on. In an active research group, a student can have the chance to work on: - 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
Associate Software Quality Assurance Engineer
Software Qa Engineer
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.
Colleagues at ArangoDB
Other employees you can reach at arangodb.com. View company contacts for 44 employees →
Julia Volmer
Colleague at ArangodbCologne Bonn Region, Germany
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Maria Garcia Fernandez
Colleague at ArangodbCangas Del Narcea, Principality Of Asturias, Spain
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Vitaly Pryakhin
Colleague at ArangodbIsrael
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Tilman Disselkamp
Colleague at ArangodbCologne, North Rhine-Westphalia, Germany
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Lars Maier
Colleague at ArangodbCologne, North Rhine-Westphalia, Germany
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Arietta Ritch
Colleague at ArangodbAngier, North Carolina, United States
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Tobias Gödderz
Colleague at ArangodbCologne, North Rhine-Westphalia, Germany
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Elliot Sommers
Colleague at ArangodbPhoenix, Arizona, United States
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Michael Hackstein
Colleague at ArangodbCologne, North Rhine-Westphalia, Germany
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Андрей Лобов
Colleague at ArangodbMoscow, Moscow City, Russia, Russian Federation
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Mohammad Dawas education
Master Of Science (Msc), Scientific Computing, 1.0 (Excellent)
Bachelor Of Science (Bsc), Electrical, Electronics And Communications Engineering
Frequently asked questions about Mohammad Dawas
Quick answers generated from the profile data available on this page.
What company does Mohammad Dawas work for?
Mohammad Dawas works for ArangoDB.
What is Mohammad Dawas's role at ArangoDB?
Mohammad Dawas is listed as Graph ML, NLP at ArangoDB.
What is Mohammad Dawas's email address?
AeroLeads has found 1 work email signal at @choreograph.com for Mohammad Dawas at ArangoDB.
Where is Mohammad Dawas based?
Mohammad Dawas is based in Baden-Baden, Baden-württemberg, Germany while working with ArangoDB.
What companies has Mohammad Dawas worked for?
Mohammad Dawas has worked for Arangodb, Choreograph, Blue Yonder, Sap, and Heidelberg University.
Who are Mohammad Dawas's colleagues at ArangoDB?
Mohammad Dawas's colleagues at ArangoDB include Julia Volmer, Maria Garcia Fernandez, Vitaly Pryakhin, Tilman Disselkamp, and Lars Maier.
How can I contact Mohammad Dawas?
You can use AeroLeads to view verified contact signals for Mohammad Dawas at ArangoDB, including work email, phone, and LinkedIn data when available.
What schools did Mohammad Dawas attend?
Mohammad Dawas holds Master Of Science (Msc), Scientific Computing, 1.0 (Excellent) from Heidelberg University.
What skills is Mohammad Dawas known for?
Mohammad Dawas is listed with skills including Software Quality Assurance, Testing, Teamwork, Java, C++, Microsoft Office, Research, and Team Leadership.
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