Foundations of Information Technology and Computing Part II Course

Tasmeea Rahman is a highly accomplished corporate trainer and academic professional with a unique blend of technical expertise and pedagogical excellence. Currently pursuing her PhD in Project Management with a focus on Energy Management in the electrical power industry at Universiti Putra Malaysia, she maintains an exceptional 4.00/4.00 CGPA while actively contributing to the professional training landscape. With extensive experience as a Freelance Corporate Trainer since 2023, Tasmeea specializes in delivering comprehensive training programs across multiple domains. Her training portfolio encompasses advanced data analytics tools including Python, Power BI, Minitab, Jaspersoft, Apache Superset, and TIBCO Spotfire, as well as machine learning applications. She also excels in teaching engineering design software such as AutoCAD, Autodesk Fusion 360, Solid Edge, and Autodesk 3Ds Max for both 2D and 3D electrical and mechanical designs. Her project management training capabilities further complement her diverse skill set. Her academic credentials are impressive, holding a Master of Engineering Management from Universiti Putra Malaysia (CGPA: 3.713/4.00), an MBA in Marketing from the University of Dhaka (CGPA: 3.61/4.00), and a Bachelor's degree in Electrical and Electronics Engineering. This multidisciplinary educational background enables her to bridge technical concepts with business applications effectively. As an Adjunct Lecturer at Leading University, she demonstrated her ability to develop curricula and deliver engaging lectures on complex electrical and electronics subjects, including VLSI design, digital signal processing, and microprocessor systems. Tasmeea's research contributions are noteworthy, with publications in high-impact journals including a first-author paper in Renewable and Sustainable Energy Reviews (Q1, Impact Factor: 15.9) and co-authored works in IEEE Access. She holds a Train the Trainer Certification from HRD Corp Malaysia and is certified in Agile Project Management by Google. Her technical proficiency spans programming languages like Python and C++, engineering software including MATLAB and CISCO Packet Tracer, and various data analytics platforms. With her combination of industry experience, academic rigor, and certified training expertise, Tasmeea delivers practical, industry-relevant training that empowers professionals to excel in their respective fields.

Dr. Saima Nasar is an accomplished Data Science and Digital Health Informatics Trainer with a PhD in Information Technology and IBM certification as a Data Scientist. With over a decade of experience in research, data science, and healthcare informatics, she brings a unique blend of academic rigor and practical expertise to her training programs. Her passion lies in empowering organizations to enhance their data management and analysis practices, with a particular focus on healthcare applications. Dr. Nasar's professional journey spans multiple roles including data scientist, researcher at Universiti Utara Malaysia since 2014, and articles reviewer for Web of Science. Her expertise encompasses Python programming, SmartPLS statistical analysis, and advanced machine learning techniques. She has successfully developed and deployed end-to-end machine learning pipelines using Azure ML Studio and created hybrid models combining principal component analysis with support vector machines for medical diagnostics, including Parkinson's disease detection. Her academic credentials are complemented by specialized certifications from prestigious institutions including Stanford University's AI in Healthcare and Supervised Machine Learning programs, University of Amsterdam's Quantitative Methods, and Erasmus University Rotterdam's Cybersecurity in Healthcare. This diverse educational background enables her to deliver comprehensive training that bridges theoretical concepts with real-world applications. As a mentor and trainer, Dr. Nasar has demonstrated her commitment to knowledge sharing through various initiatives. She has mentored teams in the Malaysian Public Policy Competition and actively participates in Girls in Tech Kuala Lumpur events. Her teaching philosophy emphasizes practical application, having previously served as a Graduate Research Assistant where she organized presentations, developed course materials, and guided students through complex data analysis projects. Dr. Nasar's research contributions focus on healthcare technology adoption, including her notable work on BYOD (Bring Your Own Device) implementation in healthcare settings and enhanced electronic clinic system architectures. Her ability to translate complex technical concepts into actionable insights makes her an invaluable trainer for organizations seeking to build data science capabilities and implement AI-driven solutions in healthcare and beyond.