I 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.
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Currently working as a Senior Data Scientist at Canadian Red Cross.
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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.
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Particularly interested in implementing machine learning web applications through Software as a Service (SaaS) solutions.
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Enjoy developing machine learning pipelines that align with and advance strategic business objectives.
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Excel at using data-centric methodologies to extract insights and drive decision-making.
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Passionate about the intersection of image processing and machine learning.
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I'm working towards the AWS Developer Associate Exam.
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These days, I'm self-teaching how to effectively build and monitor embedded machine learning models on edge devices.
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📫 How to connect with me www.linkedin.com/in/ozerozdal/
