Karam Abdulahhad, Ph.D.

CEO

Berlin, Berlin, Germany18 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Over 7 years of experience in data science.
Expert in deep learning and natural language processing.
Leader in innovative data-driven projects at Zalando.

Stackforce AI infers this person is a Data Science expert in E-commerce and Research sectors.

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Skills

Core Skills

Machine LearningDeep LearningNatural Language Processing (nlp)LeadershipTeam Leadership

Other Skills

Time Series ForecastingTechnical LeadershipManagementArtificial Intelligence (AI)Deep Neural Networks (DNN)Data AnalysisMentoringComputer ScienceProject ManagementResearchScikit-LearnData ScienceProblem SolvingJavaC++

About

With over 7 years of experience in data science and applied research, I am passionate about finding valuable insights and solutions from complex and diverse data sources. My mission is to leverage my skills and knowledge in deep learning, machine learning, NLP, and time series forecasting to create innovative and impactful products and services for Zalando and its customers. As a Senior Applied Scientist at Zalando, I lead and contribute to projects that require profound knowledge and creativity in various domains, such as NLP, forecasting, causal inference, social media mining, and multi-modal data. I also run a bi-weekly scientific platform, where my colleagues and I share and discuss the latest scientific concepts and discoveries. I enjoy collaborating with other experts and researchers, and I am always eager to learn new techniques and methods to advance the state-of-the-art in my field.

Experience

Zalando

2 roles

Applied Science Lead

Promoted

Jun 2024 – Present · 1 yr 9 mos · Berlin, Germany

Leading a cross functional team of Applied Scientists and Machine Learning Engineers
The team provides deep-learning-based demand forecasting for logistics and fulfillment center optimization, efficiently serving 185+ million orders annually.

Machine LearningTime Series ForecastingLeadershipTechnical LeadershipManagementDeep Learning

Senior Applied Scientist

Apr 2022 – Jun 2024 · 2 yrs 2 mos · Berlin, Germany

Act as a Principal Applied Scientist within a department of 15 people who are mainly active in forecasting and causal inference fields.
Lead a project to predict the income of on-boarding new brands on Zalando’s platform based on their social media footprint.
Lead a project to understand Zalando’s customers perception about a campaign through analyzing the campaign’s social media footprint.
Lead and participate in projects requiring profound knowledge in deep learning, machine learning, NLP and time series forecasting.
Run a bi-weekly scientific platform (about 40 participants), where colleagues present the latest scientific concepts/discoveries in NLP, time series forecasting, causal inference, and other fields.
Mentor colleagues in applied science and engineering job families.

Artificial Intelligence (AI)Deep Neural Networks (DNN)Natural Language Processing (NLP)LeadershipData AnalysisMentoring+9

German aerospace center (dlr)

Senior Research Scientist | Group Leader

Jan 2021 – Mar 2022 · 1 yr 2 mos · Munich, Bavaria, Germany

Lead the “Social Media” team at the Earth Observation (EO) Data Science department
Analyze multi-modal and multi-lingual social media data for urban planning, touristic hot-spot identification, people mental health, and COVID misinformation
Build dataset of geo-tagged tweets for urban planning purposes
Propose a multi-modal neural network for building a multi-modal embedding of social media posts
Supervise PhD students

Scikit-LearnManagementDeep LearningTeam Leadership

University of düsseldorf

Teaching Assistant

Apr 2019 – Jul 2019 · 3 mos · Greater Dusseldorf Area

Participate in the “Data and Knowledge Engineering” master class. Give lectures about Information Retrieval and distributional word representation (embedding)

Gesis (leibniz-institute for the social sciences)

Research Scientist

Aug 2016 – Dec 2020 · 4 yrs 4 mos · Cologne Bonn Region

ExploreData project: build an advanced and semantic search engine for social science studies and data.
Analyze social science surveys for questions comparison and recommendation, using deep learning based embedding approaches.
Participate and finalist at RCC (Rich Context Competition). RCC is a competition challenged computer scientists to find ways of automating the discovery of research datasets, fields and methods used in social science research publications
Deep learning and topic-modelling based approaches to build a precise embedding of medical concepts.
Applying for third-party funding.

Management

Université grenoble alpes

2 roles

Research Scientist

Sep 2014 – Jul 2016 · 1 yr 10 mos

Transfer my Ph.D. work to industry: the work that I have done in my PhD thesis (textual indexing, ontology-based semantic indexing and retrieval models) is recognized by University Grenoble-Alpes, and it is taken by a newly established startup.
The transfer of my Ph.D. prototype to industry get funded by SATT-Grenoble (Société d’Accélération du Transfert de Technologies).
Apply deep learning and embedding to Personalized IR (participate in the social book suggestion track of CLEF 2016).
Assistant professor at University Grenoble-Alpes.

Assistant Professor

Sep 2013 – Aug 2014 · 11 mos

192 teaching hours: Open Office, MS Office, and Advanced Excel.

Iut2 grenoble

Assistant Professor

Sep 2014 – Aug 2015 · 11 mos · Greater Grenoble Metropolitan Area

192 teaching hours: C, C++, Java, Android Mobile Programming, Database.

Laboratoire d'informatique de grenoble (lig)

Ph.D.

Oct 2010 – May 2014 · 3 yrs 7 mos · Greater Grenoble Metropolitan Area

Propose a new IR model by adapting an idea from physics to be used in IR. For the first time, obtain a large-scale logical IR model.
Improve the state-of-the-art IR performance
Study semantic IR models, which use ontology concepts instead of keywords.
The work is published in several top-tier journals and conferences.
Implementing all the necessary tools for my Ph.D., including: indexing tools, matching models, text analysis, etc.

Knolgica

Software Engineer

Aug 2008 – Aug 2009 · 1 yr · Damascus, Syria

Building a tool to automatically extract some elements from a MS Word document, and then transform these elements to a predefined XML structure. The tool is built using C# programming language.

Damascus university

Teaching Assistant

Sep 2007 – Aug 2009 · 1 yr 11 mos · Damascus, Syria

Mentoring of several subjects at faculty of Information Technology at Damascus University.
344 teaching hours: programming, IR, Software Engineering, Information Systems, 3rd year projects supervisor.