Summary
Raveena Kshatriya is a data scientist with nine years of experience who combines a Master’s in Computer Science (USC, AI concentration) with hands-on production ML work at Microsoft on Bing Product Ads relevance and multimodal models. She has a strong track record building practical NLP and deep-learning solutions—fraud detection CNNs, recommendation subtopic clustering, sentiment analysis, chatbots, and multi-task ranking systems—deployed across enterprise and consumer products. Her internships at LinkedIn and Mozilla show an ability to improve large-scale ranking and content recommendation pipelines, including addressing class imbalance and scalable distributed training. Comfortable moving models from research into production, she also brings full-stack engineering experience (AWS, .NET, Elastic Search) and a propensity for pragmatic feature experimentation. Notably, she blends academic rigor with product-minded collaboration, having worked closely with editorial and product teams to shape deployment strategies.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science - Concentration in Artificial Intelligence, Master's degree, Computer Science - Concentration in Artificial Intelligence at University of Southern California
Bachelor of Arts (B.A.), Computer Science and Mathematics, Bachelor of Arts (B.A.), Computer Science and Mathematics at University of North Carolina at Chapel Hill
Spanish, Hindi, English