Lead Data Scientist - Data Analytics And Insights
CurrentLead a high-performing cross-department team of data scientists and software engineers, specializing insearch and relevance.Accomplishments:•Trained, developed, and deployed a chemistry domain-specific model for document similarity,enhancing the accuracy and precision of search results.•Designed a clustering algorithm to categorize user queries based on search topics.•Designed and implemented advanced search features such as autosuggestion, query intent analysis,automatic document classification, semantic connection mining, and personalized relevance.•Utilized a diverse tech stack including Java, Scala, Python, Spark, Graph Databases, Rest Services,MongoDB, shell scripting, Docker, and AWS to develop robust and scalable solutions.•Acted as the primary subject matter expert for analytics related to user search metrics and conductedexperimental testing of features impacting search and relevance.•Delivered weekly reports to stakeholders across various departments, providing insights and updateson search performance and advancements.•Received a patent, "Systems and methods for performing a computer-implemented prior art search"(US10891321), highlighting innovative contributions to the field.