Hanna Olefirenko

A Data Scientist at RHI Magnesita dealing with various classical Machine Learning cases and their ene-to-end MLOps implementation with MS Azure. Have 7+ years overall experience in marketing, product, payment areas of e-commerce. Hold a Master’s Degree in Software Engineering from the Zaporizhzhia Polytechnic National University. Open-minded, curious, always eager to learn something new, passionate about making an impact with data.

Anomaly Detection – Proactive Real-Time Solution

Data quality is of utmost importance for every single company in world. No successful analytical, ML or AI case is possible without first ensuring your input data is of high quality, accurate and reliable. The risk of data quality issues increases even more when a manual user input is involved. In this presentation, we will talk about an actual end-to-end solution to catch anomalies in manual inputs in a proactive way thus preventing the incorrect data from being saved into the database at all.