Zubair Sanjrani

Zubair Sanjrani is an accomplished academic professional currently serving as a Teaching Assistant at Isra University and a Computer & IT Assistant Instructor for the BBSHRRDB program. With a Bachelor of Science in Software Engineering and an ongoing Master of Science in Data Science at Mehran University of Engineering and Technology, he combines deep technical expertise with a commitment to fostering interactive and motivating learning environments. His contributions to the academic community include co-authoring the research paper "Universal Dependencies for Sindhi," which was accepted for presentation at SyntaxFest 2025 in Ljubljana, Slovenia.

Throughout his career, he has continuously expanded his professional credentials, earning certifications in Google Business Intelligence, Cybersecurity, and Competency-Based Training & Assessment (CBT&A). Zubair possesses a diverse technical toolkit, including proficiency in Python—specifically within the Scikit-learn, Keras, and Flask frameworks—as well as Java, C++, and C#. Complemented by early industry experience from an internship at PTCL, he is recognized for his strong analytical problem-solving abilities, professional communication, and exceptional organizational skills.