Dr. Jisha Sunny Manjaly is an experienced academic professional with over 15 years of tertiary-level teaching in the fields of Data Analytics, Big Data, Cloud Computing, Programming, and Information Systems. She holds a Ph.D. in Big data. Her academic foundation is further strengthened by a Master of Technology in Computer Science and Engineering (Information Systems) and an MBA in Finance.
Throughout her career, she has consistently demonstrated a commitment to academic excellence, research innovation, and student-centered teaching. She has published extensively in high-impact international journals and IEEE conferences, focusing on big data analytics, cloud platforms, optimization, artificial intelligence, machine learning, cyber security, and data mining. My research contributions are complemented by practical experience in AWS EC2, Hadoop, and GitHub-hosted projects.
Her teaching philosophy blends theoretical rigor with hands-on practice, and she has delivered a diverse range of undergraduate and postgraduate units across topics such as Data Science Practice, Cloud Systems, Relational and Non-relational Databases, Programming Principles, and Business Analytics. She is a proficient in programming languages including Python, Java, R, and C++, and have extensive experience with educational technologies such as Moodle, Blackboard, Canvas, iLearn, Zoom, and Microsoft Teams.
In the realm of data tools and technologies, she has hands-on experience with SQL databases (SQL Server, MySQL), data visualization tools (Tableau, SAS Analytics, IBM Watson) and a working knowledge of Power BI and Qlik. She also bring expertise in tools like Jupyter Notebook, Spyder, R Studio, Visual Studio, and cloud services like AWS Lambda, S3, EC2, RDS, among others.
She has a proven track record of being a reliable team player, with experience in unit coordination, assessment moderation, peer review, project supervision, and academic administration. She has contributed actively to course design and continuous improvement processes, always prioritizing student success and inclusivity. She is committed to lifelong learning and regularly engage in professional development to refine my teaching and research capabilities.
As a professional member of ACS, ASCILITE, ISTE, and with a Certificate IV in Training and Assessment and Working with Children Check, she is equipped to deliver quality education in both academic and industry-aligned contexts. Her multicultural teaching experiences and collaborative mindset have helped foster strong professional relationships and a dynamic learning environment. She is passionate about leveraging data science and emerging technologies to drive impactful learning, innovative research, and practical solutions that benefit students, institutions, and the wider community.