I aim to pursue graduate studies in Data Science and Artificial Intelligence.<\/p>\n
syedarija02@gmail.com
\nhttps:\/\/www.linkedin.com\/in\/rija-hasan-abidi\/<\/p>\n
+92 337 034 1265<\/p>\n
Dhanani School of Science and Engineering
\nBS Computer Science
\nPhysics
\n2025
\nData Analysis, Large Language Models, Object Oriented Programming, Python
\nAchieved 4.0 Wright State University Semester Abroad
\nPresident Habib Feminist Collective Club Treasurer Mouseequi and Raqs club Member ETHOS Cabinet, Freshman Council, TCT Staff Committee – Habib University Student Government
\nStudent Researcher, Habib University (June\u00a0 August 2024)
\nPublication of dataset of dr. Qasim Pasta and Dr Sahaab Badar’s Dar Lab
\nProject DataWave
\nMy project is to centralize Karachi Electric’s data centers into one lake house and draw meaningful insights to aid decision-making to maximize efficiency and minimize losses through recognizing historical trends and patterns. The data is optimized and visualized in the form of charts and figures on a dashboard that is available to management at KE for high-level analysis. The system tracks revenue, recovery, power breakdowns, faults, energy trends and forecasts them for the future. The aim is to capture nuances using machine learning that may be impossible to analyze manually. We have found a seasonal trend in power, energy, and faults. As summer peaks, all of these variables peak as well. Similarly, the analysis has uncovered behavioral characteristics based on industrial, commercial, and domestic standings on consumers among others.<\/p>\n","protected":false},"excerpt":{"rendered":"
I aim to pursue graduate studies in Data Science and Artificial Intelligence. syedarija02@gmail.com https:\/\/www.linkedin.com\/in\/rija-hasan-abidi\/ +92 337 034 1265 Dhanani School of Science and Engineering BS Computer Science Physics 2025 Data Analysis, Large Language Models, Object Oriented Programming, Python Achieved 4.0 Wright State University Semester Abroad President Habib Feminist Collective Club Treasurer Mouseequi and Raqs club […]<\/p>\n","protected":false},"author":9,"featured_media":6398,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"single-graduate-01.php","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"program":[29],"school":[42],"class":[41],"minor":[21],"class_list":["post-6255","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-bscs","school-dhanani-school-of-science-and-engineering","class-class-of-2025","minor-physics"],"acf":{"aspiration_statement":"I aim to pursue graduate studies in Data Science and Artificial Intelligence.","video_profile_link":"","habib_email":"","email":"syedarija02@gmail.com","linkedin_link":"https:\/\/www.linkedin.com\/in\/rija-hasan-abidi\/","portfolio_Title":"","portfolio_link":"","personal_cell_1":"+92 337 034 1265","personal_cell_2":"","core_skills":[{"skill":"Data Analysis, Large Language Models, Object Oriented Programming, Python"}],"academic_awards":[{"academic_record":"Achieved 4.0 Wright State University Semester Abroad"}],"leadership-experiences":[{"leadership":"President Habib Feminist Collective Club Treasurer Mouseequi and Raqs club Member ETHOS Cabinet, Freshman Council, TCT Staff Committee - Habib University Student Government"}],"work-experience":[{"experience":"Student Researcher, Habib University (June August 2024)"}],"publications-projects":[{"publications_title":"","publications":"Publication of dataset of dr. Qasim Pasta and Dr Sahaab Badar's Dar Lab"}],"project_title":"Project DataWave","fyp_desc":"My project is to centralize Karachi Electric's data centers into one lake house and draw meaningful insights to aid decision-making to maximize efficiency and minimize losses through recognizing historical trends and patterns. The data is optimized and visualized in the form of charts and figures on a dashboard that is available to management at KE for high-level analysis. The system tracks revenue, recovery, power breakdowns, faults, energy trends and forecasts them for the future. The aim is to capture nuances using machine learning that may be impossible to analyze manually. We have found a seasonal trend in power, energy, and faults. As summer peaks, all of these variables peak as well. Similarly, the analysis has uncovered behavioral characteristics based on industrial, commercial, and domestic standings on consumers among others.","project_pictures":null,"project-video":""},"yoast_head":"\n