Data pipeline lead for topic classification and sentiment analysis
TextClassification
In this project, I led the development of topic classification and sentiment analysis pipelines for a content recommendation and advertising platform. My work involved designing, tuning, and QA testing data workflows to accurately assign categories and sentiments to newsletter content. Cross-product data was utilized to continually train and refine the recommendation engine in collaboration with an AI engineer. • Built and tuned a custom topic recommendation algorithm.
• Implemented normalization and rank aggregation methods for content sorting.
• Conducted weekly QA and edge case testing on feature and data pipelines.
• Collaborated closely with product and engineering teams on classification tasks.
In this project, I led the development of topic classification and sentiment analysis pipelines for a content recommendation and advertising platform. My work involved designing, tuning, and QA testing data workflows to accurately assign categories and sentiments to newsletter content. Cross-product data was utilized to continually train and refine the recommendation engine in collaboration with an AI engineer. • Built and tuned a custom topic recommendation algorithm. • Implemented normalization and rank aggregation methods for content sorting. • Conducted weekly QA and edge case testing on feature and data pipelines. • Collaborated closely with product and engineering teams on classification tasks.
2024 - 2025