Kyiv, Ukraine
This project required full cycle of data science activity including : data exploration, exploratory data analysis, feature engineering, training, deploying and audit machine learning pipelines.
The main contibutions here were participating and supporting in all of the steps mentioned above, that resulted in first models deployment in a half a year after research started.
Along this I've conducted a research for model improvement with classical approaches and NLP, support of ongoing process of deeper machine learning integration to meet customers demand and creating insights about product processes.