Passionate about data, strategy, and innovation, I seek to solve unconventional problems at emerging intersections, driving impact through analytics and network science while continuously learning to navigate evolving environments.<\/p>\n
mooradsoha@outlook.com
\nhttps:\/\/linkedin.com\/in\/soha-moorad<\/p>\n
+92 336 215 2001<\/p>\n
School of Arts, Humanities and Social Sciences
\nBSc (Honors) Social Development & Policy<\/p>\n
2025
\nData Visualization & Analytics, Python, RStudio, Social Network Analysis (NetworkX, Gephi, R)<\/p>\n
President, Pride Press, 2024-2025 Vice Chair, RAD-HUSG, 2023-2024 Vice President, Pride Press, 2023-2024
\nBusiness Analyst Intern, Alina Combine Pharmaceuticals Pvt. Ltd. (July 2024\u00a0 November 2024) Strategy Intern, Tyfon (Pvt) Ltd (November 2023 February 2024)
\nROAR Yearbook 2023 Yearbook 2025
\nUnmasking The Invisible: A Quantified Social Network Analysis Study of The Stigmatization of Epilepsy
\nThis research examines the propagation of epilepsy-related stigma within Pakistani social networks using a mixed-methods approach. Data was gathered from People with Epilepsy, their families, healthcare professionals, and the public through surveys and interviews. Quantitative analysis reveals that OLS regression accounts for 73.9% of the variance in stigma, with significant predictors including high stigma (? = 0.97), cause beliefs (? = 0.1483), and acceptance beliefs (? = 0.1911). Instrumental variable regression further indicates that each unit increase in misconceptions raises stigma by 0.72 points (p = 0.001), while additional exposure contributes an increase of 0.15 points (p = 0.003). Social network analysis identifies Family & Friends and Employment Networks as pivotal hubs (degree = 7) in disseminating stigma, compared to a moderate connectivity observed among People with Epilepsy (degree = 4). These findings inform targeted public health strategies and policy interventions to reduce stigma and enhance support systems.<\/p>\n","protected":false},"excerpt":{"rendered":"
Passionate about data, strategy, and innovation, I seek to solve unconventional problems at emerging intersections, driving impact through analytics and network science while continuously learning to navigate evolving environments. mooradsoha@outlook.com https:\/\/linkedin.com\/in\/soha-moorad +92 336 215 2001 School of Arts, Humanities and Social Sciences BSc (Honors) Social Development & Policy 2025 Data Visualization & Analytics, Python, RStudio, […]<\/p>\n","protected":false},"author":9,"featured_media":6534,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"single-graduate-01.php","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"program":[34],"school":[43],"class":[41],"minor":[],"class_list":["post-6341","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-sdp","school-school-of-arts-humanities-social-sciences","class-class-of-2025"],"acf":{"aspiration_statement":"Passionate about data, strategy, and innovation, I seek to solve unconventional problems at emerging intersections, driving impact through analytics and network science while continuously learning to navigate evolving environments.","video_profile_link":"","habib_email":"","email":"mooradsoha@outlook.com","linkedin_link":"https:\/\/linkedin.com\/in\/soha-moorad","portfolio_Title":"","portfolio_link":"","personal_cell_1":"+92 336 215 2001","personal_cell_2":"","core_skills":[{"skill":"Data Visualization & Analytics, Python, RStudio, Social Network Analysis (NetworkX, Gephi, R)"}],"academic_awards":null,"leadership-experiences":[{"leadership":"President, Pride Press, 2024-2025 Vice Chair, RAD-HUSG, 2023-2024 Vice President, Pride Press, 2023-2024"}],"work-experience":[{"experience":"Business Analyst Intern, Alina Combine Pharmaceuticals Pvt. Ltd. (July 2024 November 2024) Strategy Intern, Tyfon (Pvt) Ltd (November 2023 February 2024)"}],"publications-projects":[{"publications_title":"","publications":"ROAR Yearbook 2023 Yearbook 2025"}],"project_title":"Unmasking The Invisible: A Quantified Social Network Analysis Study of The Stigmatization of Epilepsy","fyp_desc":"This research examines the propagation of epilepsy-related stigma within Pakistani social networks using a mixed-methods approach. Data was gathered from People with Epilepsy, their families, healthcare professionals, and the public through surveys and interviews. Quantitative analysis reveals that OLS regression accounts for 73.9% of the variance in stigma, with significant predictors including high stigma (? = 0.97), cause beliefs (? = 0.1483), and acceptance beliefs (? = 0.1911). Instrumental variable regression further indicates that each unit increase in misconceptions raises stigma by 0.72 points (p = 0.001), while additional exposure contributes an increase of 0.15 points (p = 0.003). Social network analysis identifies Family & Friends and Employment Networks as pivotal hubs (degree = 7) in disseminating stigma, compared to a moderate connectivity observed among People with Epilepsy (degree = 4). These findings inform targeted public health strategies and policy interventions to reduce stigma and enhance support systems.","project_pictures":null,"project-video":""},"yoast_head":"\n