About
I’m an enthusiastic Data Scientist and AI practitioner based in Sweden and available worldwide, with a strong background in statistics, machine learning, and data-driven solutions.
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.
My Skills
I believe in the fact that learning never stops and I am interested in learning new technologies and programming languages that will help me design and develop a better output in less time.
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
Malmö University (Master’s Thesis)
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
Malmö University (Capstone 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.
2021-2024
StudentConsulting
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.
Services
