Spent over 2 years at ALS GoldSpot Discoveries, initially as a data scientist and later transitioning into an ML Engineer role. However, my responsibilities often diverged from traditional data science and ML engineering. Our main focus was on developing a SaaS product, where a more fitting title might have been MLOps Engineer. Day to day, I collaborated with my team to facilitate a fully automated ML platform for mineral exploration. This involved responding to Jira tickets assigned to me, resolving reported bugs, and implementing new features to enhance and support the product.

Currently working as a Senior Data Scientist at Canadian Red Cross.

My experience spans both analyzing data and deploying machine learning models into production, enabling me to see projects through from data analysis to operational implementation.

Particularly interested in implementing machine learning web applications through Software as a Service (SaaS) solutions.

Enjoy developing machine learning pipelines that align with and advance strategic business objectives.

Excel at using data-centric methodologies to extract insights and drive decision-making.

Passionate about the intersection of image processing and machine learning.

I'm working towards the AWS Developer Associate Exam.

These days, I'm self-teaching how to effectively build and monitor embedded machine learning models on edge devices.

📫 How to connect with me www.linkedin.com/in/ozerozdal/