Welcome to Synthesized’s Mind the Data Gap podcast! In our first episode, we’re happy to be joined by Pavel (Pasha) Finkelstein, Developer Advocate at JetBrains to discuss all things Data Quality. We’ll chat about what data quality means and discuss various data generation tools. Last but not least, we’ll get into SQL query analysis and how it helps improve the quality of testing data.
Synthesized is the development framework helping companies create optimized and safe to share datasets for use in machine learning, software testing and development and analytics.
Seva is an Engineering Lead with background around test automation and CI/CD, building full stack applications from scratch and driving the teams for different companies and customers including financial market, Google, Nike. He holds MSc in Applied Maths and Control Processes from the Saint Petersburg State University. He loves to share his knowledge and to try new things by means of writing blog posts, articles, speaking at conferences and tweeting about engineering things.
Polyglot developer (Java, Kotlin are primary languages), Pavel is passionate about creating talks, workshops, and blog posts with particular focus on Big Data Tools plugin. Prior to that, he was involved in building Big Data Tools for IntelliJ IDEA Ultimate and was author and maintainer of Kotlin for Apache® Spark™ (https://github.com/JetBrains/kotlin-spark-api).
Ton is an Engineer passionate about Machine Learning and AI. Before joining Synthesized, he worked for a challenger bank in the UK improving their decisioning process by exploiting their data, and prior to that, he obtained his MSc in Artificial Intelligence at the University of Edinburgh.
Ton is an Engineer passionate about Machine Learning and AI. Before joining Synthesized, he worked for a challenger bank in the UK improving their decisioning process by exploiting their data, and prior to that, he obtained his MSc in Artificial Intelligence at the University of Edinburgh.
