Complete Data Visualization and Analytics Training 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.

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.