I'm Qassem — passionate about AI, Data, and Innovation.
Qassem Aburas
AI & Data Science Professional
- qassem.aburass@gmail.com
- 0046 725015455
About me
I’m an ambitious Data Science graduate Master's student driven by curiosity and innovation. With hands-on experience in AI, ML, and big data, I aim to turn complex data into impactful insights and intelligent systems.
Data Scientist / AI Professional
I design intelligent, data-driven solutions that turn complex problems into actionable insights.
With strong expertise in statistics, machine learning, and AI model development, I’ve mastered the skills needed to analyze data and build predictive systems that align with modern industry needs.
I’ve worked on diverse projects ranging from computer vision and visual odometry to explainable AI and data analytics. My experience spans the full ML lifecycle — from data preprocessing and feature engineering to model training, evaluation, and interpretability.
Having collaborated on academic and applied data science projects, I always focus on clarity, innovation, and transparency. With me, you can expect solutions that are not only technically sound but also meaningful and explainable.
What I do
I help transform complex data into intelligent and explainable solutions using machine learning, AI, and advanced analytics.
My work spans data preprocessing, model design, and visualization — delivering clear insights and practical value from raw data.
Data Analysis & Visualization
An effective data analysis pipeline is what reveals insights and supports decision-making. I ensure data is collected, cleaned, and visualized clearly — turning raw numbers into meaningful patterns using tools such as Python, Pandas, and Power BI.
Machine Learning & AI Modeling
If you need predictive or intelligent systems, I can design and train ML models tailored to your goals. My experience covers supervised and unsupervised learning, deep neural networks, and explainability methods such as Grad-CAM for transparency and trust.
Big Data Analytics & Cloud Integration
When projects require scalability and automation, I build solutions that handle large datasets efficiently. From distributed data processing to deploying models on cloud platforms, I combine technical depth with practical reliability.
Research & Applied AI Innovation
I work on applying cutting-edge AI research to real-world challenges — from autonomous systems to data-driven business intelligence — ensuring solutions are both explainable and impactful.
Skills
My Experience
2025-Present
Levant Milk AB
Business Intelligence & Operations Manager
I lead data-driven decision-making and operational efficiency for a growing dairy and delicatessen company. My role bridges analytics and business strategy — designing BI dashboards, optimizing production processes, and managing supply-chain data to improve performance and forecasting accuracy. I also oversee automation and process reporting, ensuring our operations are guided by measurable insights and sustainable growth.
2024-2025
Master’s Thesis in Applied Data Science
Research Project: Explainable AI for Visual Odometry
Conducting research on transformer-based visual odometry models to improve robustness and interpretability using Grad-CAM and Grad-CAM++. This project integrates deep learning, computer vision, and explainable AI techniques for autonomous navigation systems. The work aims to enhance the transparency and trustworthiness of AI-driven localization models.
2023-2024
Capstone Project
Project: Multimodal Ground Truth Pose Dataset Collection Using Jackal Robot
Developed a data-collection and analysis framework using robotics and odometry sensors. Responsible for implementing model retraining, data preprocessing, and explainability analysis on odometry datasets. This project deepened my experience in Python, PyTorch, data visualization, and model evaluation.
2023-2024
Academic Research Project
Machine Learning for Breast Cancer Prediction
Designed and evaluated multiple ML models including Decision Trees, Random Forest, SVM, and Logistic Regression for cancer diagnosis prediction. Focused on model accuracy, interpretability, and Grad-CAM visualization for better insight into classification decisions. Gained experience in data preprocessing, feature selection, and performance evaluation using scikit-learn and Matplotlib.
2023-2024
Student Consulting
Warehouse Operations Consultant – Lantmännen
Worked as a consultant through StudentConsulting at Lantmännen’s large-scale warehouse in Malmö. Responsible for coordinating warehouse operations, organizing product logistics, and ensuring efficient order handling and inventory management. Strengthened teamwork, organization, and problem-solving skills within a fast-paced industrial environment.
Portfolio
