INAS AL-KAMACHY
I am a data scientist based in Karlstad, Sweden, specializing in time series forecasting and medical image classification. I enjoy turning complex data into actionable insights and building scalable ML and DL models.
About
I am a data scientist based in Karlstad, Sweden, specializing in time series forecasting and medical image classification. I enjoy turning complex data into actionable insights and building scalable ML and DL models. I have hands-on experience across healthcare, energy, and infrastructure sectors, with a strong focus on MLOps, cloud-based AI pipelines, and end-to-end deployment from research to production.
As a mentor and collaborator, I thrive on sharing knowledge, leading workshops on time-series forecasting, LLMs, and generative AI, and helping teams adopt robust ML practices. I’m passionate about applying AI to real-world problems and driving impact through practical solutions and scalable workflows.
- 17 years' experience
- Joined March 2026
Languages
- EnglishFluent
Industry experience
- Healthcare
- Energy & Utilities
- Software & Internet
- Government
- Education
- Professional Services
- Transportation & Logistics
- Other
Work experience· 8 roles
Provide freelance data science consulting and mentorship; mentored 30+ professionals in ML/AI, orchestrated data pipelines with Airflow, delivered 10+ workshops on time-series forecasting, LLMs, and generative AI, and built MLOps pipelines using Docker, Terraform, Cloud Run, Airflow, and MLflow; managed Terraform modules for GCP infrastructure.
Modeled data pipelines in dbt, dlt, and Cube; supported clients on data-related questions and suggested AI strategies.
Developed and optimized the platform using both front-end and back-end technologies, reducing processing time and improving user experience. Developed AI and blockchain solutions for cloud-based sustainability and compliance platforms. Collaborated with team members on Azure cloud infrastructure to deploy scalable solutions.
Education
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