Nareddy S.

Successfully taught undergraduate courses in Problem Solving & Programming (PPS), Data Structures, and Python for 8+ years, delivering both theoretical and practical content.
Developed structured lesson plans, lab manuals, and evaluation methods aligned with university curriculum and industry standards.
Mentored 1000+ students across batches, many of whom progressed to successful careers in software development and higher education.
Conducted hands-on workshops and coding sessions to improve students’ logical thinking and problem-solving skills using C and Python.
Designed and implemented innovative assessments to evaluate student understanding of algorithms, data structures, and programming logic.
Guided final-year projects and mini-projects focused on real-world applications of Python and data structure optimization.
Actively contributed to curriculum development and academic audits as part of the department’s continuous improvement initiatives.
Organized and participated in FDPs (Faculty Development Programs) and webinars on Python, data structures, and teaching pedagogy.
Strong advocate for interactive learning, using tools like CodeChef, HackerRank, and GitHub Classroom for student engagement and coding practice.