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I’m Mohammed Omer, a data science and machine learning student based in Marburg, Germany. My focus is building reliable data pipelines and using statistical and visualization techniques to turn complex longitudinal and multimodal datasets into meaningful insights, especially for research on user behavior and intervention performance. In addition to my research work, I support learning and problem-solving as a teaching assistant for algorithms and bioinformatics. I enjoy bridging theory and practice—whether it’s analyzing time-series data, evaluating robustness in LLM-based frameworks, or guiding others through efficient algorithm design, complexity considerations, and correctness proofs.…I’m Mohammed Omer, a data science and machine learning student based in Marburg, Germany. My focus is building reliable data pipelines and using statistical and visualization techniques to turn complex longitudinal and multimodal datasets into meaningful insights, especially for research on user behavior and intervention performance. In addition to my research work, I support learning and problem-solving as a teaching assistant for algorithms and bioinformatics. I enjoy bridging theory and practice—whether it’s analyzing time-series data, evaluating robustness in LLM-based frameworks, or guiding others through efficient algorithm design, complexity considerations, and correctness proofs.

Mohammed Omer

Data Scientist, Programmer, Web Developer, +2

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I’m Mohammed Omer, a data science and machine learning student based in Marburg, Germany. My focus is building reliable data pipelines and using statistical and visualization techniques to turn complex longitudinal and multimodal datasets into meaningful insights, especially for research on user behavior and intervention performance. In addition to my research work, I support learning and problem-solving as a teaching assistant for algorithms and bioinformatics. I enjoy bridging theory and practice—whether it’s analyzing time-series data, evaluating robustness in LLM-based frameworks, or guiding others through efficient algorithm design, complexity considerations, and correctness proofs.…I’m Mohammed Omer, a data science and machine learning student based in Marburg, Germany. My focus is building reliable data pipelines and using statistical and visualization techniques to turn complex longitudinal and multimodal datasets into meaningful insights, especially for research on user behavior and intervention performance. In addition to my research work, I support learning and problem-solving as a teaching assistant for algorithms and bioinformatics. I enjoy bridging theory and practice—whether it’s analyzing time-series data, evaluating robustness in LLM-based frameworks, or guiding others through efficient algorithm design, complexity considerations, and correctness proofs.

Available to hire

I’m Mohammed Omer, a data science and machine learning student based in Marburg, Germany. My focus is building reliable data pipelines and using statistical and visualization techniques to turn complex longitudinal and multimodal datasets into meaningful insights, especially for research on user behavior and intervention performance.

In addition to my research work, I support learning and problem-solving as a teaching assistant for algorithms and bioinformatics. I enjoy bridging theory and practice—whether it’s analyzing time-series data, evaluating robustness in LLM-based frameworks, or guiding others through efficient algorithm design, complexity considerations, and correctness proofs.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Kurdish

Fluent

English

Fluent

German

Beginner

Russian

Advanced

Arabic

Advanced

Work Experience

Student Assistant - Artificial Intelligence, Multimodal Modeling & Machine Learning at Philipps-Universität Marburg

January 1, 2026 - Present

Developed Python-based data processing and analysis pipelines for large-scale longitudinal datasets, including data cleaning, participant matching, timestamp processing, duplicate handling, and automated quality checks. Conducted longitudinal and event-based analyses of notifications, questionnaires, behavioral responses, and contextual data to identify patterns and evaluate intervention performance. Performed statistical analysis and data visualization in Python to assess adherence, response rates, temporal trends, and differences between study groups. Integrated and analyzed time-series and multimodal contextual data while handling missing, irregular, and inconsistent observations. Contributed to replication of AdSent, an LLM-based fake-news detection framework, implementing LLM-based text generation, adversarial data augmentation, and transformer-based classification for robustness evaluation.

Teaching Assistant - Algorithms of Bioinformatics at Philipps-Universität Marburg

October 1, 2025 - March 1, 2026

Guided students through algorithmic problems on biological sequence data, including sequence comparison, string matching, indexing, and genome assembly. Supported solution discussions involving dynamic programming, string algorithms, suffix trees, and sequence-based algorithms, emphasizing algorithm selection and efficiency. Reviewed weekly group submissions and provided technical feedback on algorithm design, implementation strategies, correctness, and computational complexity. Explained advanced computational concepts such as RNA structure prediction, phylogenetic algorithms, and genome-related data processing to help students troubleshoot and improve their solutions.

Academic Tutor at Philipps-University Marburg

September 1, 2025 - August 21, 2025

Corrected and assessed homework for the Advanced Algorithms course (Höhere Algorithmik). Assisted students by answering questions and providing regular feedback to enhance their understanding of the subject matter.

Teaching Assistant - Advanced Algorithms (Höhere Algorithmik) at Philipps-Universität Marburg

April 1, 2025 - September 30, 2025

Assessed weekly algorithmic problem sets, evaluating solutions for correctness, computational complexity, and sound reasoning. Supported students in solving advanced problems across approximation, parameterized and exact algorithms, randomized algorithms, complexity theory, and linear programming/primal-dual techniques. Explained algorithm design, correctness proofs, and computational complexity to help students develop efficient and theoretically sound solutions.

IT Specialist at Technomed

April 1, 2024 - August 21, 2025

Diagnosed and resolved hardware, software, and network problems to maintain operational efficiency. Refined and improved the existing documentation system to ensure accuracy and accessibility. Provided first-line support to end-users by addressing technical issues via phone and in person.

IT Specialist at Technomed Sulaymaniyah

September 1, 2019 - April 1, 2024

Diagnosed and resolved hardware, software, and network issues for end users. Improved and maintained the organization’s technical documentation system. Provided first-line IT support to users both remotely and on site.