Traffic Intelligence
Built a real-time traffic monitoring system for vehicle detection, tracking and traffic density analysis. Implemented speed estimation, violation detection logic and data-driven visualization, with deployment on Render.
Data Science undergraduate with hands-on experience across machine learning, computer vision, data analytics and full stack development. I build practical AI systems that connect data, models and usable software.
Machine Learning · Computer Vision · Data Analytics
A portfolio built around practical data science, AI and software development — from raw data and models to deployable applications.
I am a Data Science undergraduate with hands-on experience across machine learning, computer vision and full stack development. My work combines analytical thinking with practical engineering to turn data and AI ideas into usable software.
I have built applied systems including real-time traffic analytics and an air-quality prediction platform, alongside full stack web applications. I am interested in Data Science, Machine Learning and AI opportunities where I can continue learning while contributing to real projects.
Data analysis, data visualization, feature engineering and machine learning workflows.
Practical AI systems using machine learning, deep learning, natural language processing and computer vision.
A growing technical stack spanning programming, data, machine learning, AI, backend systems and modern web development.
Applied work across computer vision, predictive analytics, full stack development and practical software systems.
Built a real-time traffic monitoring system for vehicle detection, tracking and traffic density analysis. Implemented speed estimation, violation detection logic and data-driven visualization, with deployment on Render.
Developed an air-quality prediction system using 10 years of historical data from 2015–2025 across 7 Karachi monitoring stations, covering approximately 3,971 records. Built the pipeline from preprocessing and feature engineering through model evaluation and visualization.
Built a dynamic full stack clothing brand website with a React frontend, Node.js backend and MongoDB data layer.
Built a dynamic full stack business website with a React frontend, Node.js backend and MongoDB data layer.
Python-based currency converter project with machine-learning and deep-learning oriented exchange-rate visualization.
Practical inventory management project focused on stock tracking and supplier management.
Professional, leadership and community experience across technology, artificial intelligence and student organizations.
Manage finances for society-wide activities and events, including budgeting, expense tracking, financial reporting, fund management and executive-level financial planning.
Selected as a Student Ambassador for the MLSA Karachi chapter; contribute to learning, collaboration and technology community events.
Completed a 6-week internship in the IT Department, supporting IT operations, system support and chatbot-related tasks within professional workflows.
Trained in machine learning, deep learning and natural language processing to build AI-based solutions.
Supported technical event planning, operations, logistics, coordination and execution for society activities.
Supported community event coordination, logistics and team collaboration.
Participated as a student member of the IEEE Computational Intelligence Society chapter at SSUET.
Technical training across Python, Data Science, Web Technologies and Agentic AI.
Successfully completed the 11-month Agentic AI Batch-1 training programme under the Education Department of Saylani Welfare International Trust.
Completed foundational Python training through Saylani Mass IT Training, covering core Python programming concepts.
Training stage focused on Node.js, TypeScript and foundational web development.
Continued web technology training with HTML5 and React.js.
Continued development training with a focus on Python programming.
Current stage focused on AI Agents and continued technical development.
Documented certifications, memberships and workshops completed alongside university, training and project work.
Formal education supporting the transition from programming fundamentals to data science, AI and applied software development.
Developing a foundation across programming, statistics, databases, machine learning, data analysis and data-driven problem solving.
Board of Intermediate Education Karachi (BIEK).
Board of Secondary Education Karachi (BSEK).