Share Profile
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."
Core Skills
- Python, TensorFlow, AWS, SQL
Academic Awards / Achievements
- Dean's List in Fall 2024 Habib Excellence Scholarship. 80% scholarship for my 4 year academic degree
Experience
Leadership / Meta-curricular
- 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
Internship / Volunteer Work
- Project Developer, Salesflo Data Analyst Intern, Toyota Indus Motor Company Database Intern, The Citizens Foundation
Final Year Project
Project Title
Rahguzar: optimizing route plans
Description
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.