Sohail Tabba HU TOPS Scholar
\nai07597@st.habib.edu.pk
\nMotivated by Data, AI, and Management, aiming to build a career in analytical and strategic roles where I can solve real-world problems and grow my decision-making and leadership skills.<\/p>\n
ai07597@st.habib.edu.pk
\naizaimran2003@gmail.com
\nhttps:\/\/www.linkedin.com\/in\/aizaimran\/
\nPortfolio<\/p>\n
+923363831056
\n+923363831056
\nDhanani School of Science and Engineering
\nBS Computer Science<\/p>\n
2025
\nDeep Learning|
\nPower BI|
\nPower Automate|
\nPython|
\nSoftware Development Processes and Methodologies|
\nN\/A
\nData Analyst; Product Manager; AI Engineer;
\nN\/A
\nWomen Techmakers – Global Ambassador|Gdg – Core Team Member|Career Services Office – Event Volunteer|General Secretary,Natural Science Club|
\nData Analyst Intern,
\nUBL
\n(July \u2013 August 2025)
\n|<\/p>\n
Undergrad Researcher,
\nHabib University
\n(March \u2013 December 2024)
\n|<\/p>\n
Tech Intern,
\nPrint Eazy
\n(March \u2013 May 2024)
\n|<\/p>\n
Game Programmer,
\nMindstorm Studios
\n(June 2023 \u2013 August 2024)
\n|
\nPublication \u2013 A Qualitative Study of Bibliographic Data Sources and Retrieval Mechanisms for Computational Research|
\nPublication \u2013 Published in 2024, 26th International Multi-Topic Conference (INMIC)|
\nLeadership Role \u2013 Global Ambassador for WomenTechmakers – 2024|
\nAgriVerse: AI-Based Agricultural Commodity Price Prediction Platform
\nDeveloped an AI-powered platform to predict agricultural commodity prices using machine learning techniques, including LSTMs and ensemble models. The system integrates real-time data pipelines with a full-stack architecture, enabling continuous data ingestion, processing, and prediction. A multilingual dashboard was designed to ensure accessibility for diverse, non-technical users. The project aimed to address price volatility in agricultural markets by providing reliable, data-driven forecasts to support better decision-making for stakeholders. Key outcomes included improved prediction accuracy across multiple commodities and the successful deployment of an end-to-end system capable of handling real-world data. The project demonstrates the practical application of AI in solving domain-specific challenges at scale while prioritizing usability and impact.<\/p>\n","protected":false},"excerpt":{"rendered":"
Sohail Tabba HU TOPS Scholar ai07597@st.habib.edu.pk Motivated by Data, AI, and Management, aiming to build a career in analytical and strategic roles where I can solve real-world problems and grow my decision-making and leadership skills. ai07597@st.habib.edu.pk aizaimran2003@gmail.com https:\/\/www.linkedin.com\/in\/aizaimran\/ Portfolio +923363831056 +923363831056 Dhanani School of Science and Engineering BS Computer Science 2025 Deep Learning| Power BI| […]<\/p>\n","protected":false},"author":9,"featured_media":8662,"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":[44],"minor":[],"competencies":[],"class_list":["post-8661","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-bscs","school-dhanani-school-of-science-and-engineering","class-class-of-2026"],"acf":{"scholarship":"Sohail Tabba HU TOPS Scholar","aspiration_statement":"Motivated by Data, AI, and Management, aiming to build a career in analytical and strategic roles where I can solve real-world problems and grow my decision-making and leadership skills.","video_profile_link":"","habib_email":"ai07597@st.habib.edu.pk","email":"aizaimran2003@gmail.com","linkedin_link":"https:\/\/www.linkedin.com\/in\/aizaimran\/","portfolio_Title":"Portfolio","portfolio_link":"","personal_cell_1":"+923363831056","personal_cell_2":"+923363831056","core_skills":[{"skill":"Deep Learning"},{"skill":"Power BI"},{"skill":"Power Automate"},{"skill":"Python"},{"skill":"Software Development Processes and Methodologies"}],"academic_awards":[{"academic_record":"N\/A"}],"leadership-experiences":[{"leadership":"Women Techmakers - Global Ambassador"},{"leadership":"GDG- Core Team Member"},{"leadership":"Career Services Office - Event Volunteer"},{"leadership":"General Secretary, Natural Science Club"}],"work-experience":[{"experience":"Data Analyst Intern, UBL (July \u2013 August 2025)"},{"experience":"Undergrad Researcher, Habib University (March \u2013 December 2024)"},{"experience":"Tech Intern, Print Eazy (March \u2013 May 2024)"},{"experience":"Game Programmer, Mindstorm Studios (June 2023 \u2013 August 2024)"}],"publications-projects":[{"publications_title":"","publications":"Publication \u2013 A Qualitative Study of Bibliographic Data Sources and Retrieval Mechanisms for Computational Research"},{"publications_title":"","publications":"Publication \u2013 Published in 2024, 26th International Multi-Topic Conference (INMIC)"},{"publications_title":"","publications":"Leadership Role \u2013 Global Ambassador for WomenTechmakers - 2024"}],"project_title":"AgriVerse: AI-Based Agricultural Commodity Price Prediction Platform","fyp_desc":"Developed an AI-powered platform to predict agricultural commodity prices using machine learning techniques, including LSTMs and ensemble models. The system integrates real-time data pipelines with a full-stack architecture, enabling continuous data ingestion, processing, and prediction. A multilingual dashboard was designed to ensure accessibility for diverse, non-technical users. The project aimed to address price volatility in agricultural markets by providing reliable, data-driven forecasts to support better decision-making for stakeholders. Key outcomes included improved prediction accuracy across multiple commodities and the successful deployment of an end-to-end system capable of handling real-world data. The project demonstrates the practical application of AI in solving domain-specific challenges at scale while prioritizing usability and impact.","project_pictures":[{"project_pic":8765}],"project-video":""},"yoast_head":"\n