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Surhan Zahid has a diverse work experience in the field of software development and engineering. They started their career in 2017 as a Web Developer at CodeAlpha. They then worked as a Shopify Theme Developer and Python Automation specialist at Raza Garments. In this role, they developed a web scraper and script for data scraping and uploading onto the company's Shopify store. They then joined XEPOS Ltd. as a Full Stack Developer, where they developed a Client Portal, Client Dashboard, and Store Manager Admin Panel. After that, they worked as a System Engineer at Cloud Defense, responsible for monitoring and managing systems and infrastructure, as well as implementing systems automation. They also served as a Software Developer at Frontier Ceramics Limited, focusing on developing an ERP system and working on the Finance and HR modules. They then worked as a Software Engineer at Punjab Information Technology Board (PITB), where they collaborated with cross-functional teams to develop and maintain an Enterprise Resource Planning (ERP) system for the Pakistan Air Force IT department. Most recently, they worked as a Full Stack Developer at Together, contributing to the redesign of the website and developing client-side and hiring manager dashboards with real-time chat functionality. Their future work experience will include a role as a Software Developer at Gemnote starting in 2023.

Surhan Zahid completed a Bachelor's degree in Computer Science with a specialization in Computer Programming, Specific Applications from Abasyn University. Surhan attended the university from 2016 to 2020. In addition to their degree, Surhan also obtained several certifications. In November 2019, they completed a course on "Whats is Data Science" from Coursera. In June 2019, they completed a course on "Data Analysis with Python (IBM)" from Coursera. In August 2019, they completed a course on "Python for Data Science and AI (IBM)" from Coursera. Finally, in January 2020, they obtained certifications in "EXPLORATORY DATA VISUALIZATION" and "PYTHON FOR DATA SCIENCE: FUNDAMENTALS" from Dataquest.io.