Data Visualization with Kibana

Tasmeea Rahman is a highly skilled and versatile professional with a rich background in both academia and industry. Currently serving as a Freelance Corporate Trainer at Abundent in Kuala Lumpur, Malaysia, Tasmeea specializes in developing content and providing training on a wide array of subjects including Machine Learning, Data Analysis with Python, MS Excel, Power BI, Minitab, Jaspersoft, Apache Superset, TIBCO Spotfire, and various electrical and mechanical 2D/3D design tools such as AutoCAD and Autodesk Fusion 360. Her role also encompasses project management training. Previously, Tasmeea worked as an Adjunct Lecturer at Leading University in Sylhet, Bangladesh where she was involved in curriculum development and delivering engaging lectures on electrical and electronics courses. She has hands-on experience in teaching subjects like electrical circuits, VLSI design, digital signal processing, and microprocessors. Before her academic stint, she served as a Design Engineer at ALCOVE in Dhaka, Bangladesh where she was responsible for providing electrical and architectural drawings along with planning and executing projects. Tasmeea holds a Ph.D. in Project Management from Universiti Putra Malaysia with a perfect CGPA of 4.00/4.00. She also earned a Master of Engineering Management from the same university and an MBA in Marketing from the University of Dhaka. Her educational foundation is built on a Bachelor's Degree in Electrical and Electronics Engineering from United International University in Bangladesh. In addition to her formal education, Tasmeea has several certifications including Train the Trainer Certification from HRD Corp and Agile Project Management Certifications from Google via Coursera. She is proficient in multiple engineering software tools and programming languages including MATLAB, AutoCAD, C++, Assembly language, and Python. Fluent in both Bengali and English, Tasmeea is committed to continuous learning and professional development.

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.