InViz, Search Engineer
Apr 2019 - Present Ranking Optimization for E-Commerce company million products
● Developed SpellCheck service using historical and catalog.
● Tuned solr parameter for ranking and matching.
● Developed solr custom plugin to process and index dimensional queries.
● Developed Autocomplete service using historical user behavior.
● Ranking using Recommendation system Developed jobs for customer data analysis:
● Developed spark jobs for processing customer log data which were used for building models for various relevancy services.
● A broad spectrum of high-end technology services ranging from big data processing and storage, cloud and automation, ML
● Created ETL pipelines using PySpark, DataProc for processing data in multiple formats - structured and unstructured data( texts) ● AdHoc analysis of large volumes of data using SQL/Elasticsearch/SparkSQL to get business insights
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