BDA and BI in Healthcare

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.

Hadia Yousaf is a highly experienced IT trainer with an extensive background in Statistics, Research, Business Administration, Banking, Finance, and Economics. Currently working as a Data Scientist and Data Science Trainer, Hadia has developed expertise in Python, SQL, Machine Learning related to Business Analytics and Big Data Analytics Data Visualisation. She has proven experience working with large data sets and analytic tools, showcasing her capabilities in Statistical Analysis using Time Series and Panel Data, statistical modeling, and Machine Learning. Hadia is a HRDF Certified Trainer (TTT) and Virtual Learn Caster (VLC), certified from Malaysia. She boasts of a diverse career path which includes 2 years as a Data Scientist/Data Science Trainer, 8 years of research work as a PhD researcher, 3 years as a Senior Banking Services Officer at Allied Bank Ltd., Pakistan, 1 year as an IT Intern under the Pakistan Government Internship Program and 1 year of teaching experience as a Course Instructor. Her current role at The Center of Applied Data Science involves creating data pipelines to collect, clean, normalise and load data for statistical analysis and hypothesis testing. With an expected Ph.D. in Industrial & Development Economics from Universiti Utara Malaysia by December 2022, Hadia's academic journey also includes an MBA in Banking & Finance and a Bachelor's degree in Information Technology. Her profound understanding of statistical and machine learning concepts combined with high standard coding practices positions her as an accomplished professional in the field. As a dedicated professional willing to work remotely or travel abroad, she prides herself on her excellent English language skills.

Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer with a profound expertise in data science and engineering, amassing over ten years of experience in developing data processing pipelines for enterprise insights. He is a proven leader with exceptional communication, presentation, and leadership skills, certified as an HRDF trainer with more than 15 years of experience as a computer science instructor both in academia and as a professional data science/engineering trainer in the industry. His academic credentials include a PhD in Computer Science from Universiti Malaya, Malaysia, and he holds certifications from Harvard Business School in Business Analytics. Mohammad specializes in cutting-edge technologies such as Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API and Microservices, and Amazon Web Services. Currently serving as the Chief Data and Knowledge Officer at Magna.ai since February 2024, Mohammad leads the development of graph databases and data warehouses to support AI-driven law case analysis services. He architects robust API and microservice solutions to enhance system interoperability and scalability while ensuring data security and compliance with legal standards. Prior to this role, he has been contributing his expertise as a Senior Data Engineer at AXIATA Digital Advertising (ADA) since March 2020. Here, he collaborates on designing automated data pipelines using AWS RedShift and Snowflake for storing telco data and implements BI dashboards leveraging Google BigQuery. From June 2018 to February 2020, Mohammad was the Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science in Kuala Lumpur. He led teams of data scientists and engineers to design professional training programs for prominent clients like CIMB, PETRONAS, SHELL, and TNB. His earlier roles include leading big data engineering teams at RAHA in Iran where he developed large-scale analytics pipelines using Hadoop Ecosystem tools like Hive and Spark. In academia, Mohammad served as a faculty member at Payame Noor University from September 2014 to June 2018 where he supervised graduate research projects and contributed significantly to curriculum development. His tenure also includes leadership positions at Islamic Azad University where he managed departments to achieve high academic standards. With technical proficiencies spanning RDBMS like MySQL and PostgreSQL to programming languages such as Python and C++, Mohammad is adept at web design using HTML/CSS/Bootstrap alongside project management skills including Scrum Master certification. His published works include books on Object-Oriented Programming and Project Management Fundamentals along with numerous journal articles on topics ranging from solar radiation prediction models to machine learning algorithms for intrusion detection systems.