Liudmyla Taranenko works as the Head of Data Science at Metadata.io.

Metadata.io builds a product for B2B marketers that automates many manual and repetitive tasks. By taking care of tasks like running paid campaigns, personalizing web experiences, and optimizing everything for revenue, Metadata.io frees up time for marketers to focus on strategy, creativity, and driving revenue.

Topics that we talk about:

• Data sources collected and used by Metadata.io
• Data-driven features and product analytics at Metadata.io
• ML algorithms at Metadata.io e.g. Neural Networks
• Tech stack used at Metadata.io e.g. AWS, Databricks, (Py)Spark, MLflow
• Interesting data science challenges and edge cases at Metadata.io
• The future of marketing driven by data and AI
• The unique aspects of working with data science at Metadata.io
• The life cycle of data science projects at Metadata.io which ends with productization, UI, storytelling, and marketing

The podcast was recorded by Adam Kawa (GetInData).

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