Mahmoud Emarah

An enthusiastic and hard-working Data Scientist, who has recently received his master’s degree in data science from RWTH Aachen university in Germany. A resourceful problem solver with one year of experience as a Data Scientist and more than three years of research and software engineering experience and excellent interpersonal and programming skills.

Vodafone GmbH Nov 2021 – Aug 2022

Data Scientist (NLP Engineer) D¨usseldorf, Germany

• Supported the research and development of the virtual customer service (TOBI chatbot) within the Cognitive AI & Data Science department 
•  Developed a customized data anonymization pipeline using named entity recognition technique, which maximised the freedom of research using anonymized real datasets 
• Created and trained a deep learning model for automatically generating dialogues that replicate customer behaviour, allowing the TOBI testing process to be fully automated 
• Assisted in the development of the sentiment analysis module of customers’ conversations 
•  Introduced and conceptualized the chat analysis techniques using process mining tools 
•  Participated in the deployment process of developed services on AWS using MLOps practices

Software Engineer (iOS Developer) Cairo, Egypt

• Led the architectural and implementation processes of the iOS application PharamaTools , a pharmaceutical marketing field force automation application that helps medical sales representatives to automate all their work 
• esigned and developed the whole stages of the iOS application Total Retail 360, a TOTAL Egypt maintenance and security proprietary application aimed to digitize and automate Total Egypt’s retail business 
• Managed to build a survey engine supporting different forms of questions and integrated it into multiple applications 
• Developed and maintained a point of sale (POS) module to synchronize all sales operations within Qyood application
•  Optimized the video editing and filters application module, leading to performance enhancement within Funtometo

 Research Engineer Jena, Germany

•  Develop a robust deep learning open source content-based image retrieval system for scientific data scientific data 
•  Achieved a 9% enhancement of retrieved results’ accuracy, and 12.5% retrieval time reduction relative to an old system Ain Shams University Dec 2016 – Sep 2019 Teaching and Research Assistant Cairo, Egypt 
•  Assisted the teaching and tutorial preparation of computer science underground courses – High Performance Computing – Natural Language Processing – Distributed Systems 
•  Coached undergraduate students and supervised graduation projects – Image Completion using Generative Adversarial Neural Networks (GANs) – Grayscale Image Colouring using Convolutional Neural Networks (CNNs) 

RWTH Aachen University Dec 2019 – Sep 2022

Master of Science in Data Science Aachen, Germany

•  Thesis & Publications : ”Dynamics Modeling of Industrial Robots Using Transformer Networks”, IEEE IRC 2022 
• Grade : German GPA (1.9) Very Good 

 Bachelor of Science in Computer Science Cairo, Egypt

•  Thesis : Designed and built a machine learning-driven firewall to detect and classify malicious queries and URLs 
•  Grade : American GPA (3.7) Excellent with honor