Waheed Amir

Directed a multidisciplinary team in managing sprints and gathering requirements, ensuring projects were delivered on time and aligned with business objectives. Facilitated team training sessions and managed code reviews to maintain high-quality standards.

Developed automated data scraping solutions using Selenium and Octoparse to efficiently extract and process information from various web sources. Engineered scalable back-end web services with Python Django for seamless integration with front-end applications.

Utilized the Django REST framework to create scalable back-end web services, enabling efficient data handling and seamless integration with various applications. Designed and executed data scraping and scheduling systems with RabbitMQ pipelines, and leveraged ReactJS for frontend implementation.

Developed and deployed microservices using the Flask Framework, enhancing website functionality and supporting scalable web applications. Utilized ReactJS for front-end development and applied Pandas for data wrangling, executing data science modeling and analysis to drive data-driven decision-making.

Led the implementation of data scraping solutions using the Scrapy Framework, creating efficient pipelines for data wrangling and storage. Leveraged the Django REST framework to provide scalable microservices, and spearheaded requirement gathering sessions and managed sprints.

Led the development of robust data scraping solutions using the Scrapy Framework and Selenium, enhancing data extraction capabilities. Utilized Pandas for data processing, implemented address standardization using HERE API and Google API, and designed data monitoring systems with Bootstrap, HTML, CSS, JS, and Django.

Pursued a Bachelor of Science in Computer Science and Engineering, focusing on core computer science and engineering principles.