{"id":5584,"date":"2024-02-28T16:48:30","date_gmt":"2024-02-28T16:48:30","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/?page_id=5584"},"modified":"2024-02-28T16:48:31","modified_gmt":"2024-02-28T16:48:31","slug":"jessica-pearson","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/jessica-pearson\/","title":{"rendered":"Jessica Pearson"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-5584\" data-postid=\"5584\" class=\"themify_builder_content themify_builder_content-5584 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row dropPadding-bottom tb_0l52602 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_0ygc603 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_esex603 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Jessica_Pearson.jpg\" class=\"wp-post-image wp-image-5532\" title=\"Jessica Pearson\" alt=\"Jessica Pearson\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Jessica_Pearson.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Jessica_Pearson-150x150.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <div class=\"image-content\">\n                    <h3 class=\"image-title\">\n                                    Jessica Pearson                            <\/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_g2w3604 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_t7c7604   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h1>Jessica Pearson<\/h1>\n<h5>Strategy Lead at Gensler<\/h5>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_2plz358 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion  glossy tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-2plz358-0\" class=\"tb_title_accordion\" aria-controls=\"acc-2plz358-0-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Bio<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-2plz358-0-content\" data-id=\"acc-2plz358-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                                    <div class=\"tb_text_wrap\">\n                        <p>Jessica Pearson is curious about how machine learning can help analysts increase their effectiveness, learn what is hiding in unstructured data, and draw insights from text analysis to elevate the role of qualitative data in the workplace survey tool she uses as part of her consulting work as a Strategy Lead at Gensler.\u00a0 Gensler is a global design firm with over 6,000 professionals in over 50 offices worldwide.\u00a0<\/p>\n<p>In April of 2022, Jessica was awarded a research grant from the Gensler Research Institute called\u00a0 &#8220;Our Data Advantage &#8211; Mining our Qualitative WPI Data&#8221; where she set out to use machine learning to analyze open-ended survey comments from a survey that had collected thousands of comments from thousands of clients in the Gensler Workplace Performance Index (WPIx) survey.<\/p>\n<p>In May 2016, Jessica completed her MBA at the Darden School of Business at the University of Virginia to expand her effectiveness as a partner with clients where she fell in love with Analytics.\u00a0 She has been coding in R and Python since then through courses like Decision Analysis, Marketing Analytics, and electives exploring CEO compensation, operations research and an independent study on project management.<\/p>\n<p>Jessica is a licensed Architect, a member of INFORMS, AIA and her career has included time in architecture, construction, municipal planning, and consulting.\u00a0 She is a Strategy lead at Gensler, the world\u2019s largest design firm in their Raleigh office.<\/p>                    <\/div>\n                            <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-css_id=\"u6fe602\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth_row_container tb_u6fe602 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_84q1605 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_k572608 track  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h6>Track: Predictive Analytics<\/h6>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_xwmz608   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Mining Qualitative Data for Insights: Using machine learning to build an NLP model for workplace design using open-ended survey comments<\/h2>\n<p>Text analytics have taken major steps forward with the advent of Chat GPT and OpenAI. Collecting and analyzing text from survey comments is an important part of survey analysis with a lens into human emotion but it can be challenging to deal with so much unstructured data and apply statistics to the data. In early 2022 we took thousands of workplace survey comments collected between 2008 and 2023 to create a Natural Language Processing (NLP) topic model for a global design firm, Gensler, that would result in a data-driven survey comment analysis process for it\u2019s team of strategists. Before this, analysts were using crude methods to extract insight from the written comments that were limited to key word searches and assumptions about sentiment and themes based on a handful of comments.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Jessica Pearson Strategy Lead at Gensler<\/p>\n","protected":false},"author":1001140,"featured_media":0,"parent":712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-5584","page","type-page","status-publish","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>Jessica Pearson - 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Mining our Qualitative WPI Data\" where she set out to use machine learning to analyze open-ended survey comments from a survey that had collected thousands of comments from thousands of clients in the Gensler Workplace Performance Index (WPIx) survey.<\/p> <p>In May 2016, Jessica completed her MBA at the Darden School of Business at the University of Virginia to expand her effectiveness as a partner with clients where she fell in love with Analytics.\u00a0 She has been coding in R and Python since then through courses like Decision Analysis, Marketing Analytics, and electives exploring CEO compensation, operations research and an independent study on project management.<\/p> <p>Jessica is a licensed Architect, a member of INFORMS, AIA and her career has included time in architecture, construction, municipal planning, and consulting.\u00a0 She is a Strategy lead at Gensler, the world\u2019s largest design firm in their Raleigh office.<\/p><\/li><\/ul>\n<h6>Track: Predictive Analytics<\/h6>\n<h2>Mining Qualitative Data for Insights: Using machine learning to build an NLP model for workplace design using open-ended survey comments<\/h2> <p>Text analytics have taken major steps forward with the advent of Chat GPT and OpenAI. Collecting and analyzing text from survey comments is an important part of survey analysis with a lens into human emotion but it can be challenging to deal with so much unstructured data and apply statistics to the data. In early 2022 we took thousands of workplace survey comments collected between 2008 and 2023 to create a Natural Language Processing (NLP) topic model for a global design firm, Gensler, that would result in a data-driven survey comment analysis process for it\u2019s team of strategists. Before this, analysts were using crude methods to extract insight from the written comments that were limited to key word searches and assumptions about sentiment and themes based on a handful of comments.<\/p>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5584","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/users\/1001140"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/comments?post=5584"}],"version-history":[{"count":6,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5584\/revisions"}],"predecessor-version":[{"id":5590,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5584\/revisions\/5590"}],"up":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/712"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/media?parent=5584"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}