Lead Data Scientist
St Petersburg, St Petersburg City, Russia
Big US-based e-commerce client, Search team ● Led a team of 4 Data Scientists, communicated with the client, pre-sales, quarter/month projects planning.● Implemented two query classifiers using CNN on top of fasttext, which resulted in a 2% increase in revenue per visitor.● Implemented products ranking (pairwise approach using linear regression) inside solr, which resulted in a 3% increase in revenue per visitor.● Implemented recommendation system, next best filter model, query tagging (NER), statistical personalization model, features extraction from the image of the product.Technologies: python, keras, sklearn, pandas, numpy, spacy, gensim, mlflow, pyspark, databricks, git, github, jenkins, docker.Amazon Alexa’s skill (R&D NLP project)● Customer’s intent classifier using fastai ulmfit approach.● Customer’s query tagging (NER).Technologies: python, pytorch, tensorflow, fastai, pandas, numpy, keras, spacy, gensim, git, github, jenkins, docker, snowflake, datameer.