Certified Data Engineering Professional

Tarun Sukhani is a distinguished professional trainer and consultant with over 25 years of comprehensive industry experience spanning multinational corporations across the US, Europe, Asia, South America, and the Middle East. His extensive background encompasses senior executive roles including CIO/CTO, director, and board member positions at renowned organizations such as Dell, AMD, and Experian, as well as regional conglomerates like Indra in Asia Pacific. This diverse corporate experience provides him with unique insights into enterprise-level challenges and solutions across multiple business functions including HR, Finance, Operations, Sales, Risk Management, Engineering, and Accounting. As a highly sought-after trainer, Tarun specializes in an impressive array of cutting-edge technologies and methodologies. His expertise spans Agile/Scrum/SAFe frameworks, enterprise architecture (TOGAF/COBIT/ITIL), cybersecurity (CISSP/CEH/CISO), project management (PRINCE2/PMP), Big Data technologies (Hadoop/Spark), Data Science with Python and R, DevOps practices, Machine Learning/AI, cloud computing, blockchain technologies, and modern development frameworks. This comprehensive skill set enables him to deliver training across the entire technology spectrum, from foundational concepts to advanced implementations. His training delivery extends throughout the Asia Pacific region, including Malaysia, Indonesia, Philippines, Thailand, and Singapore, where he has successfully conducted workshops and training programs for both large enterprises and SMEs. Tarun's client portfolio includes industry leaders such as Dell, AMD, Western Digital, Singtel, CIMB, Digi, Tenaga Nasional, and Sime Darby, demonstrating his ability to work with diverse organizational cultures and technical requirements. Academically, Tarun holds exceptional credentials including an MSc in Information Systems and MBA in Finance and Operations Management from Loyola University Chicago, where he graduated summa cum laude with Beta Gamma Sigma and Alpha Sigma Nu honors. His educational foundation is further strengthened by Bachelor's degrees in Biology, Math, Computer Science, and Business Administration, plus advanced programs from MIT and Stanford in AI, Blockchain, and Entrepreneurship. His extensive certifications as an Agile/Scrum trainer, Java/.NET developer, Machine Learning specialist, and InfoSec expert validate his technical proficiency and commitment to continuous learning, making him an ideal trainer for organizations seeking comprehensive technology education and transformation guidance.'

Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'

Saima Nisar is a seasoned Data Science and Digital Health Informatics Trainer, holding a prestigious PhD in Information Technology. With an IBM certification as a Data Science Professional, Saima brings a wealth of knowledge, particularly in Python, SmartPLS, and Machine Learning. She is fervently dedicated to empowering learners and enhancing data practices within the healthcare sector. Her extensive experience includes serving as a Researcher at Universiti Utara Malaysia since 2014, where she contributes significantly to the academic community. As a Graduate Research Assistant at Universiti Teknologi Petronas from 2011 to 2013, Saima honed her skills in creating engaging course materials and managing complex datasets. Her practical approach is further evidenced by her successful projects like developing machine learning pipelines with Azure ML Studio and diagnosing Parkinson's disease using advanced hybrid models. Saima has proven her commitment to professional development and sharing knowledge through mentorship roles in competitions like the Malaysian Public Policy Competition and active participation in organizations such as Girls in Tech Kuala Lumpur. Her expertise is recognized globally as an Articles Reviewer for the Web of Science. Additionally, Saima maintains an active presence in the tech community by contributing to volunteer work with ICANN since November 2022.