Available to hire
I’m Mohamad Nabeel, a data scientist with 3+ years of experience related to AI/ML. I focus on predictive modeling, data processing, and data mining algorithms, with hands-on experience in NLP techniques, generative modeling, and anomaly detection.
I have a solid background in industrial economics and technology management from top European universities, which brings a unique engineering perspective to my work and allows me to connect technical solutions with business value.
Skills
Experience Level
Language
Arabic
Fluent
Swedish
Fluent
English
Fluent
Spanish; Castilian
Intermediate
Work Experience
Data Scientist at Ericsson
January 1, 2025 - October 20, 2025Test Code Generation: prompt-tuned LLMs to generate code and test cases for RAN environments. Developed a multi-class classifier using RAG and transformers to classify software logs. Detected faulty software logs in 4G/5G RAN using pre-trained models (e.g., BERT). Designed a reconstruction- and forecasting-based time-series anomaly detector using diffusion models to identify software faults in 4G/5G RAN.
Teaching Assistant at KTH Royal Institute of Technology
January 1, 2022 - October 20, 2025Exercise leader, examiner, and assistant: responsible for leading exercises, conducting examinations, and assisting students across various courses.
Internship Consultant at The National Government Employee Pensions Board
August 1, 2020 - October 20, 2025Management consultancy and analytics: led and collaborated with three other students to create a roadmap for introducing robotic process automation across agency processes.
Education
Master of Science in Machine Learning at KTH Royal Institute of Technology
September 1, 2021 - June 1, 2023Master of Science in Computer and Systems Sciences at Stockholm University
September 1, 2021 - June 1, 2022Master of Science in Engineering (Industrial Engineering and Management) at Mid Sweden University
September 1, 2017 - June 1, 2022Qualifications
Industry Experience
Telecommunications, Software & Internet, Education, Professional Services, Media & Entertainment
Skills
Experience Level
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