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Sofia Almousa

@sofiaalmousa

NLP researcher at the University of Lethbridge studying multi-hop reasoning for text summarization and question generation.

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What I'm looking for

I’m eager to develop and deploy production-scale machine learning models and integrate Generative AI solutions to support data-driven decision-making across cross-functional teams.

At the University of Lethbridge, I researched multi-hop reasoning for text summarization and question generation. I designed experiments to evaluate summarization approaches on complex, multi-document inputs and implemented systems to generate questions from passages.

For my diabetic retinopathy detection project at Yarmouk University, I implemented a CNN-based medical image classification system using retinal image datasets. I evaluated pre-trained architectures including DenseNet121, ResNet, and EfficientNet, and applied image preprocessing and augmentation.

At NPC Datathon 2025, I contributed to an AI-powered labor market chatbot for job matching and workforce insights. The project used NLP and large language model techniques, with approaches aligned to RAG pipelines and conversational AI.

My data analysis projects have included SQL, Python, and Power BI analysis of e-commerce orders, customer churn, and HR attrition. I’ve also worked on time-series forecasting with LSTM, Prophet, and XGBoost, and on Excel-based sales analysis.

Experience

Work history, roles, and key accomplishments

Research Intern — NLP & Text Summarization

University of Lethbridge

Jun 2026 - Aug 2026 (2 months)

Conducting research on multi-hop reasoning for text summarization and question generation. Designing and running experiments to evaluate extractive and abstractive summarization approaches on complex multi-document inputs.

NLP Text Summarization Question Generation Multi Hop Reasoning LLM Python data preprocessing Research

Education

Degrees, certifications, and relevant coursework

University of Lethbridge

Research Internship, Natural Language Processing

2026 - 2026

Activities and societies: Supported by a Mitacs research internship award.

Conducted research on multi-hop reasoning for text summarization and question generation as part of an NLP research project supervised by Prof. Yllias Chali.

Parachute16 — Youth Grow Activity (YGA)

Data Analysis Training Program, Data Analysis

2025 - 2025

Activities and societies: Developed structured analytical thinking and applied findings across 5+ real-world project case scenarios.

Completed an intensive 87-hour hands-on data analysis training program covering data cleaning, EDA, KPI tracking, SQL, Python, and Power BI dashboarding.

Yarmouk University

Bachelor of Science, Data Science and Artificial Intelligence

2021 - 2025

Grade: 3.3 / 4.0

Activities and societies: Relevant coursework included Statistics, Database Systems, Business Intelligence, Python Programming, Machine Learning, Neural Networks, and Data Mining. Graduation project focused on early detection of diabetic retinopathy using deep learning.

Pursued a Bachelor of Science in Data Science and Artificial Intelligence, achieving a GPA of 3.3/4.0 and earning a place on the Honor List for two consecutive semesters.