“AI and machine learning enthusiast with expertise in NLP, optimization, and cloud computing. Skilled in developing scalable AI solutions, data-driven decision-making, and automation for complex problem-solving.”<\/p>\n
nabilazehra1@gmail.com
\nhttps:\/\/www.linkedin.com\/in\/nabilazahra17\/<\/p>\n
+92 313 277 5825<\/p>\n
Dhanani School of Science and Engineering
\nBS Computer Science<\/p>\n
2025
\nPython, TensorFlow, AWS, SQL
\nDean’s List in Fall 2024 Habib Excellence Scholarship. 80% scholarship for my 4 year academic degree
\nCofounder of NGO The Last Earthlings where I raised awareness and lead campaigns for ocean pollution. Participated in Invent for the planet by texas a&M university Participated in Fintech Hackathon
\nProject Developer, Salesflo Data Analyst Intern, Toyota Indus Motor Company Database Intern, The Citizens Foundation<\/p>\n
Rahguzar: optimizing route plans
\nRahguzar is a route optimization system for Salesflo, designed to enhance Permanent Journey Plans (PJP) for sales representatives. It optimizes sales routes, improves store coverage, and ensures scalability using OSRM on Docker for efficient routing. The system is built with PostgreSQL (AWS RDS), Flask for backend services, and React.js for the frontend, leveraging clustering algorithms to structure millions of store visits efficiently. By filtering stores based on locality, sub-locality, and distributor access, Rahguzar minimizes travel time and fuel consumption while ensuring systematic store visits. A distributor-based login system enables controlled data access. Key benefits include time and cost efficiency, improved logistics, and automated PJP generation. The system is scalable and adaptable, allowing real-time route adjustments. By integrating AI with GIS, Rahguzar provides a practical, data-driven solution to logistics challenges in retail sales, enhancing operational efficiency and optimizing resource utilization.<\/p>\n","protected":false},"excerpt":{"rendered":"
“AI and machine learning enthusiast with expertise in NLP, optimization, and cloud computing. Skilled in developing scalable AI solutions, data-driven decision-making, and automation for complex problem-solving.” nabilazehra1@gmail.com https:\/\/www.linkedin.com\/in\/nabilazahra17\/ +92 313 277 5825 Dhanani School of Science and Engineering BS Computer Science 2025 Python, TensorFlow, AWS, SQL Dean’s List in Fall 2024 Habib Excellence Scholarship. 80% […]<\/p>\n","protected":false},"author":9,"featured_media":6379,"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":[],"class_list":["post-6285","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-bscs","school-dhanani-school-of-science-and-engineering","class-class-of-2025"],"acf":{"aspiration_statement":"\"AI and machine learning enthusiast with expertise in NLP, optimization, and cloud computing. Skilled in developing scalable AI solutions, data-driven decision-making, and automation for complex problem-solving.\"","video_profile_link":"","habib_email":"","email":"nabilazehra1@gmail.com","linkedin_link":"https:\/\/www.linkedin.com\/in\/nabilazahra17\/","portfolio_Title":"","portfolio_link":"","personal_cell_1":"+92 313 277 5825","personal_cell_2":"","core_skills":[{"skill":"Python, TensorFlow, AWS, SQL"}],"academic_awards":[{"academic_record":"Dean's List in Fall 2024 Habib Excellence Scholarship. 80% scholarship for my 4 year academic degree"}],"leadership-experiences":[{"leadership":"Cofounder of NGO The Last Earthlings where I raised awareness and lead campaigns for ocean pollution. Participated in Invent for the planet by texas a&M university Participated in Fintech Hackathon"}],"work-experience":[{"experience":"Project Developer, Salesflo Data Analyst Intern, Toyota Indus Motor Company Database Intern, The Citizens Foundation"}],"publications-projects":null,"project_title":"Rahguzar: optimizing route plans","fyp_desc":"Rahguzar is a route optimization system for Salesflo, designed to enhance Permanent Journey Plans (PJP) for sales representatives. It optimizes sales routes, improves store coverage, and ensures scalability using OSRM on Docker for efficient routing. The system is built with PostgreSQL (AWS RDS), Flask for backend services, and React.js for the frontend, leveraging clustering algorithms to structure millions of store visits efficiently. By filtering stores based on locality, sub-locality, and distributor access, Rahguzar minimizes travel time and fuel consumption while ensuring systematic store visits. A distributor-based login system enables controlled data access. Key benefits include time and cost efficiency, improved logistics, and automated PJP generation. The system is scalable and adaptable, allowing real-time route adjustments. By integrating AI with GIS, Rahguzar provides a practical, data-driven solution to logistics challenges in retail sales, enhancing operational efficiency and optimizing resource utilization.","project_pictures":null,"project-video":""},"yoast_head":"\n