{"id":11464,"date":"2026-02-19T20:01:57","date_gmt":"2026-02-19T20:01:57","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics\/?post_type=speaker&p=11464"},"modified":"2026-03-06T18:02:30","modified_gmt":"2026-03-06T18:02:30","slug":"upsana-raval","status":"publish","type":"speaker","link":"https:\/\/meetings.informs.org\/wordpress\/analytics\/speaker\/upsana-raval\/","title":{"rendered":"Upasana Raval"},"template":"","meta":{"_acf_changed":false,"content-type":""},"class_list":["post-11464","speaker","type-speaker","status-publish","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"\nUpasana Raval - 2026 INFORMS Analytics+ Conference<\/title>\n<meta name=\"description\" content=\"At American Airlines, we're transforming how flight schedules are planned and evaluated through a cutting-edge platform developed in collaboration with Palantir. This "one-stop shop" empowers planners and schedulers to assess flight schedules in minutes\u2014balancing operational feasibility, profitability, and robustness.A key component of this platform is the engine that predicts flight-level revenue, enabling analysts from crew and network planning teams to assess the profitability of flight schedules dynamically with respect to changes. The engine uniquely leverages concepts from optimization, econometrics, and machine learning to provide flight revenue prediction with 95% accuracy. In this session, we\u2019ll walk through our end-to-end engine development and deployment journey\u2014from training ensemble CatBoost models and interpreting results using SHAP, to leveraging Palantir Foundry for scalable experimentation and deployment, and packaging the core logic for seamless integration across platforms and applications\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/meetings.informs.org\/wordpress\/analytics\/speaker\/upsana-raval\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Upasana Raval - 2026 INFORMS Analytics+ Conference\" \/>\n<meta property=\"og:description\" content=\"At American Airlines, we're transforming how flight schedules are planned and evaluated through a cutting-edge platform developed in collaboration with Palantir. This "one-stop shop" empowers planners and schedulers to assess flight schedules in minutes\u2014balancing operational feasibility, profitability, and robustness.A key component of this platform is the engine that predicts flight-level revenue, enabling analysts from crew and network planning teams to assess the profitability of flight schedules dynamically with respect to changes. The engine uniquely leverages concepts from optimization, econometrics, and machine learning to provide flight revenue prediction with 95% accuracy. In this session, we\u2019ll walk through our end-to-end engine development and deployment journey\u2014from training ensemble CatBoost models and interpreting results using SHAP, to leveraging Palantir Foundry for scalable experimentation and deployment, and packaging the core logic for seamless integration across platforms and applications\" \/>\n<meta property=\"og:url\" content=\"https:\/\/meetings.informs.org\/wordpress\/analytics\/speaker\/upsana-raval\/\" \/>\n<meta property=\"og:site_name\" content=\"2026 INFORMS Analytics+ Conference\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/INFORMSpage\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-06T18:02:30+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/meetings.informs.org\/wordpress\/analytics\/files\/2025\/06\/2026_Analytics_Conference_logo_400.png\" \/>\n\t<meta property=\"og:image:width\" content=\"400\" \/>\n\t<meta property=\"og:image:height\" content=\"400\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@INFORMS\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics\/speaker\/upsana-raval\/\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/analytics\/speaker\/upsana-raval\/\",\"name\":\"Upasana Raval - 2026 INFORMS Analytics+ Conference\",\"isPartOf\":{\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics\/#website\"},\"datePublished\":\"2026-02-19T20:01:57+00:00\",\"dateModified\":\"2026-03-06T18:02:30+00:00\",\"description\":\"At American Airlines, we're transforming how flight schedules are planned and evaluated through a cutting-edge platform developed in collaboration with Palantir. 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