{"id":1322,"date":"2022-02-10T14:29:35","date_gmt":"2022-02-10T14:29:35","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/speakers\/tamas-terlaky-copy\/"},"modified":"2022-02-10T14:33:19","modified_gmt":"2022-02-10T14:33:19","slug":"chi-zhang","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/speakers\/chi-zhang\/","title":{"rendered":"Chi Zhang"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-1322\" data-postid=\"1322\" class=\"themify_builder_content themify_builder_content-1322 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row dropPadding-bottom tb_b4m6370 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_lhf6371 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_o82f371 image-top  track emerging tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"\/wordpress\/analytics2022\/files\/2022\/02\/chiZhang.jpg\" title=\"Chi Zhang\" alt=\"Chi Zhang headshot\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <div class=\"image-content\">\n                    <h3 class=\"image-title\">\n                                    Chi Zhang                            <\/h3>\n                    <\/div>\n    <!-- \/image-content -->\n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_a3q3372 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_tpap372   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h1>Chi Zhang<\/h1>\n<h5>Senior Data Scientist at DoorDash<\/h5>\n<p>Chi Zhang is a Senior Data Scientist in DoorDash. Chi has been working on real-world ML problems across logistics, robotics, and predictive maintenance. Chi has a Ph.D. degree in Computer Science from the University of Tennessee.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-css_id=\"0sxr370\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth_row_container tb_0sxr370 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_j2b6373 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_gjzv373 level associate  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Associate<\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_16bq373 level professional  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Professional<\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_65li921 level executive  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Executive<\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_9obw374 track emerging  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h6>Track: Emerging Analytics<\/h6>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_doot374   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>How Covid Has Changed ETA Predictions: From Modeling Life Cycle to Business Decision Making<\/h2>\n<p>The ETA, which we use predictive models to calculate, is our best estimate of the delivery duration and serves to help set customer expectations for when their order will arrive. If any of the numerous touchpoints of delivery goes wrong, it can make an order arrive later than expected. Unexpectedly long deliveries lead to inaccurate ETAs and negative customer experiences (especially when the order arrives much later than the ETA suggested), which creates reduced trust and satisfaction in our platform as well as higher churn rates. On the other hand, unnecessarily over-estimated ETAs hurt the growth of business as it leads to a low conversion rate. In Covid era, we&#8217;ve seen rapidly changing markets that significantly affect our ETA predictions from multiple dimensions, such as supply\/demand balance, order prep time, traffic conditions, etc. How we revamp the modeling life cycle, design experimentation strategy, and drive decision-making for business outcomes are all critical for adapting to the new normal.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Chi Zhang Chi Zhang Senior Data Scientist at DoorDash Chi Zhang is a Senior Data Scientist in DoorDash. Chi has been working on real-world ML problems across logistics, robotics, and predictive maintenance. Chi has a Ph.D. degree in Computer Science from the University of Tennessee. Associate Professional Executive Track: Emerging Analytics How Covid Has Changed [&hellip;]<\/p>\n","protected":false},"author":1001094,"featured_media":1080,"parent":256,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-1322","page","type-page","status-publish","has-post-thumbnail","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v26.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Chi Zhang - 2022 INFORMS Business Analytics Conference<\/title>\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\/analytics2022\/speakers\/chi-zhang\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Chi Zhang\" \/>\n<meta property=\"og:description\" content=\"Chi Zhang Chi Zhang Senior Data Scientist at DoorDash Chi Zhang is a Senior Data Scientist in DoorDash. 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Chi has been working on real-world ML problems across logistics, robotics, and predictive maintenance. Chi has a Ph.D. degree in Computer Science from the University of Tennessee.<\/p>\n<p>Associate<\/p>\n<p>Professional<\/p>\n<p>Executive<\/p>\n<h6>Track: Emerging Analytics<\/h6>\n<h2>How Covid Has Changed ETA Predictions: From Modeling Life Cycle to Business Decision Making<\/h2> <p>The ETA, which we use predictive models to calculate, is our best estimate of the delivery duration and serves to help set customer expectations for when their order will arrive. If any of the numerous touchpoints of delivery goes wrong, it can make an order arrive later than expected. Unexpectedly long deliveries lead to inaccurate ETAs and negative customer experiences (especially when the order arrives much later than the ETA suggested), which creates reduced trust and satisfaction in our platform as well as higher churn rates. On the other hand, unnecessarily over-estimated ETAs hurt the growth of business as it leads to a low conversion rate. 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