I aspire to advance AI by developing intelligent, ethical, and scalable solutions. Through continuous learning and practical application, I aim to drive innovation and contribute to cutting-edge AI development.<\/p>\n
www.linkedin.com\/in\/hammad-shaikh\/<\/p>\n
+92 306 169 5002<\/p>\n
Dhanani School of Science and Engineering
\nBS Computer Science<\/p>\n
2025
\nPython, C++, C, PowerBI
\nDean’s List 2020 (A Levels)
\nWeb Development, Ramadan Iftar Drives, Padel
\nNET Developer Intern, Techsurge inc. (June 2024\u00a0 July 2024), Project Advisor, Power Cement Limited (September 2023\u00a0 December 2023), Digital Onboarding\/Consulting, Cook’d Brands Limited<\/p>\n
Power Cement Energy Management Solution
\nMy Final Year Project (FYP) focuses on optimizing cement and clinker production while minimizing electricity costs. The Optimal Energy Production Plan Model integrates solar, wind, WHRS, and grid electricity to create an optimized production schedule that achieves the lowest basket tariff while meeting production targets. The model uses machine learning algorithms to: Predict electricity demand for clinker and cement production. Forecast renewable energy generation from solar, wind, and WHRS sources. Optimize production scheduling to balance electricity costs, energy availability, and operational constraints. Findings & Benefits: Cost Reduction: Smart scheduling minimizes peak-hour electricity reliance. Efficiency: Intelligent demand forecasting enhances operational productivity. Sustainability: Maximized renewable energy use lowers environmental impact. By integrating AI and optimization techniques, this project reduces operational costs, enhances efficiency, and improves sustainability, providing a scalable energy management solution for industrial manufacturing.<\/p>\n","protected":false},"excerpt":{"rendered":"
I aspire to advance AI by developing intelligent, ethical, and scalable solutions. Through continuous learning and practical application, I aim to drive innovation and contribute to cutting-edge AI development. www.linkedin.com\/in\/hammad-shaikh\/ +92 306 169 5002 Dhanani School of Science and Engineering BS Computer Science 2025 Python, C++, C, PowerBI Dean’s List 2020 (A Levels) Web Development, […]<\/p>\n","protected":false},"author":9,"featured_media":6425,"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":[52],"class_list":["post-6276","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-not-applicable"],"acf":{"aspiration_statement":"I aspire to advance AI by developing intelligent, ethical, and scalable solutions. Through continuous learning and practical application, I aim to drive innovation and contribute to cutting-edge AI development. ","video_profile_link":"","habib_email":"","email":"","linkedin_link":"https:\/\/linkedin.com\/in\/hammad-shaikh\/","portfolio_Title":"","portfolio_link":"","personal_cell_1":"+92 306 169 5002","personal_cell_2":"","core_skills":[{"skill":"Python, C++, C, PowerBI"}],"academic_awards":[{"academic_record":"Dean's List 2020 (A Levels)"}],"leadership-experiences":[{"leadership":"Web Development, Ramadan Iftar Drives, Padel"}],"work-experience":[{"experience":"NET Developer Intern, Techsurge inc. (June 2024 July 2024), Project Advisor, Power Cement Limited (September 2023 December 2023), Digital Onboarding\/Consulting, Cook'd Brands Limited"}],"publications-projects":null,"project_title":"Power Cement Energy Management Solution","fyp_desc":"My Final Year Project (FYP) focuses on optimizing cement and clinker production while minimizing electricity costs. The Optimal Energy Production Plan Model integrates solar, wind, WHRS, and grid electricity to create an optimized production schedule that achieves the lowest basket tariff while meeting production targets. The model uses machine learning algorithms to: Predict electricity demand for clinker and cement production. Forecast renewable energy generation from solar, wind, and WHRS sources. Optimize production scheduling to balance electricity costs, energy availability, and operational constraints. Findings & Benefits: Cost Reduction: Smart scheduling minimizes peak-hour electricity reliance. Efficiency: Intelligent demand forecasting enhances operational productivity. Sustainability: Maximized renewable energy use lowers environmental impact. By integrating AI and optimization techniques, this project reduces operational costs, enhances efficiency, and improves sustainability, providing a scalable energy management solution for industrial manufacturing.","project_pictures":null,"project-video":""},"yoast_head":"\n