Big Data Analytics for Executives: Strategic Leadership Training

Navin Manghan Dewandas is an accomplished legal and business consultant, senior corporate trainer, and digital transformation advocate with more than 21 years of dynamic experience across legal, corporate, and education sectors. As an HRD Corp Certified Trainer and Certified Data Protection Officer, he brings a unique blend of legal expertise, business acumen, and educational innovation to his training programs. Currently serving as Senior Manager of Business Development at BAC Education Group, Navin leads key initiatives in Digital Transformation, Industry 4.0, and Digital Business. He is instrumental in building and nurturing partnerships with government-linked companies (GLCs), multinational corporations (MNCs), and government ministries, leveraging available grants and funding to support Malaysia's human capital development and future-ready workforce initiatives. His strategic insight and innovative thinking have made him a key driver in creating and executing education and talent development platforms aligned with government grants, digital economy agendas, and corporate learning frameworks. Navin's professional journey includes significant leadership roles such as Regulatory Legal & Compliance Manager and Business Director at MULA Advisory Sdn Bhd, where he provided expertise in compliance, legal matters, and business development within financial services and capital markets. As Vice President for M.I.T Academy Sdn Bhd, he successfully drove nationwide TVET training programs and initiated the setup of an International School. He also co-founded STEMERA Sdn Bhd, an EdTech startup focused on bridging skills gaps through digital learning platforms, with his innovative work featured at prestigious global conferences including RISE Conference 2018 and Blockchain Consensus 2018. As a trainer, Navin specializes in diverse areas including Legal Practices (Business Law, Contract Law, PDPA, ABAC), Digital Transformation (Google Workspace, AI-driven Digital Communication), Corporate Skills (Procurement, Negotiation, Business Development), and Entrepreneurship. His training approach combines practical legal knowledge with digital readiness, empowering individuals and organizations to thrive in today's competitive landscape. With qualifications including an LLB (Hons) from University of Hertfordshire and a Professional Diploma in International Arbitration, Navin is dedicated to lifelong learning and fostering innovation through education that aligns with the demands of a rapidly evolving digital economy.

Dr. Mohammed Al-Obaydee is a distinguished academic and industry professional with extensive expertise in artificial intelligence, machine learning, deep learning, and data science. As an Adjunct Associate Professor at Taylor's University Malaysia and a certified Train the Trainer professional, he brings a unique blend of academic rigor and practical industry experience to his teaching and consulting engagements. With a Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) and over two decades of experience spanning academia and industry, Dr. Al-Obaydee has established himself as a leading authority in advanced computing technologies. His research excellence is evidenced by multiple best paper awards, including recognition at IEEE ACSAT2014 and ITNG 2023 conferences, along with an impressive publication record featuring over 149 citations and an h-index of 6. His research focuses on medical image analysis, computer vision, machine learning applications, and deep learning techniques. As a founder of INNOEYETIVE and AIC4ALL, Dr. Al-Obaydee demonstrates entrepreneurial acumen in leveraging AI and immersive technologies for digital transformation. His industry experience includes successful training and consultation projects with major corporations such as HSBC Bank, OCBC Bank, DELL Malaysia, Amway Malaysia, and EtiQa, where he has delivered specialized programs in data science, analytics, and applied AI engineering. His ability to bridge the gap between theoretical concepts and practical applications makes him an exceptional trainer for professionals seeking to upskill in emerging technologies. Dr. Al-Obaydee's teaching portfolio encompasses a comprehensive range of subjects including Machine Learning, Deep Learning, Data Analytics, Data Engineering, Parallel Computing, and Advanced Data Structures. He has supervised numerous master's students and research projects at both Taylor's University and the International Islamic University Malaysia (IIUM), focusing on cutting-edge topics such as deep reinforcement learning, medical image classification, fraud detection, and natural language processing. His international speaking engagements and extensive training experience across multiple organizations demonstrate his exceptional communication skills and ability to make complex technical concepts accessible to diverse audiences.

Uzair Aslam is an accomplished Data Scientist with extensive expertise in machine learning, artificial intelligence, and advanced analytics. With a proven track record of delivering transformative data-driven solutions across the financial services and telecommunications sectors, he brings a unique combination of technical excellence and business acumen to every project. Currently serving as AVP - Senior Data Scientist at Maybank, Uzair has spearheaded the development of cutting-edge fraud detection models that have revolutionized risk management processes. His innovative machine learning solution reduced false positive review time by 75%, saving approximately 2,940 man hours and significantly improving operational efficiency. He has successfully engineered sophisticated fraud detection systems combining Computer Vision and Natural Language Processing, utilizing OCR technology for document analysis and anomaly detection. His leadership extends to managing cross-functional teams and developing automated business intelligence solutions, including news web-scraping applications for risk event monitoring across the Asia Pacific region. Uzair's professional journey includes valuable experience as a Specialist Data Scientist at The CADS, where he provided strategic advisory services to major international clients including Petronas, Shell, and CIMB. His consulting expertise focuses on translating complex business requirements into actionable data science use cases. He has also demonstrated exceptional training capabilities, delivering corporate training programs on Machine Learning, Deep Learning, and Natural Language Processing to diverse professional audiences. With a Master's degree in Data Science & Business Analytics from Asia Pacific University (achieved with Distinction) and a Bachelor's in Electronics Engineering, Uzair possesses a solid academic foundation complemented by numerous industry certifications. His technical proficiency spans Python, R, SQL, Spark, SAS, and HiveQL, along with expertise in modern data science platforms including Tableau, Power BI, DataRobot, H2O.ai, and Dataiku. His project portfolio demonstrates versatility across fraud detection, credit scoring, opinion spam detection, electricity load forecasting, and neural network applications, showcasing his ability to apply advanced statistical and machine learning concepts to solve real-world business challenges.