Advanced Technology Management Consultancy Pte Ltd
Level 39, Marina Bay Financial Centre Tower 2,
10 Marina Boulevard,
Singapore-018983
kaustuv@nxtgencode.com
Donald Wedding, Ph.D
Donald K. Wedding, Ph.D., is an experienced educator and data scientist with over 25 years in data science and statistical analysis. He has spent 15 years teaching graduate data science courses at Northwestern University, where he also developed curricula in statistics and machine learning.
With a Ph.D. in Engineering focused on machine learning and AI., Dr. Wedding combines academic excellence with extensive industry experience in healthcare, insurance, banking, and retail. His expertise includes Python programming, statistical modeling, machine learning, and natural language processing. Dr. Wedding’s ability to bridge theory and practice makes him an exceptional teaching candidate in the field of data science.
Angela Patterson, DBA
Angela Patterson, DBA, is an adjunct professor and senior Alteryx engineer specializing in data analytics, predictive modeling, and artificial intelligence applications. With a strong academic background, including a DBA from Wilmington University and an MSPA from Northwestern, she teaches courses in statistics, AI, and business analytics. Her industry experience spans roles at Alteryx, Oracle, Whole Foods, and Apex Systems. She is a skilled communicator, collaborator, and problem-solver, recognized for innovative applications of data science. She holds multiple certifications in AI, cloud computing, and analytics.
Matthew Lamons
With decades of dedication to the pursuit of cognitive sciences and advanced technologies, Matthew Lamons brings to the table a remarkably varied and rich experience as an entrepreneur and science practitioner.Matthew is co-founder alongside Kaustuv of training content. He has extensive experience in AI platforms, Digital Twins and Python programming. He has co-authored “Python Deep Learning Projects”, “Python-Beginners Guide To Artificial Intelligence” and “A Quick Sip-A Practical Guide to Understanding and Adopting AI”. Matthew has a BS in Industrial Psychology from Southern Illinois University, Edwardsville and studied in the PhD program for Experimental and Applied Behavioral Psychology at University of West Virginia before pursuing his passion in AI.
David A. Ostrowski, Ph.D
David A. Ostrowski, Ph.D., is an experienced computer scientist with a strong background in artificial intelligence, blockchain, and big data analytics. With a Ph.D. in Computer Science from Wayne State University, he has extensive industrial experience at Ford Motor Company and UIM Labs, specializing in AI-driven vehicle analytics blockchains applications, and data science. He is also an adjunct professor at Purdue Global and Northwestern University , teaching courses in AI, blockchain, andcommittee participations, making him a recognized leader in AI and blockchain innovation for automotive and industrial applications.
Logan Strouse
Logan Strouse is a data-driven analytics leader with expertise in data science and analytics, currently serving as a Data Scientist at University Hospitals and faculty at Northwestern University. He holds an M.S. in Data Science from Northwestern and has extensive experience in data integration, statistical modeling, andAI applications in healthcare. His previous roles at FedEx included pricing strategy, revenue modeling, and predictive analytics. Proficient in Python, R, SQL, and BI tools like Tableau and Alteryx, he has a strong background in machine learning, data visualization, and agile methodologies. Logan is committed to continuous learning and advancing data science applications.
Daniel K. Wedding, Ph.D
Dr. Daniel K. Wedding is a tenured professor at Owens Community College with over 20 years of experience in teaching and course development in engineering and technology. He holds a Ph.D. in Electrical Engineering from the University of Toledo and has extensive industry experience as the founder of a high-tech business specializing in electronics and material science. Dr. Wedding has contributed to multiple patents, published research, and received
Peter Pelter
Pete Pelter is a skilled data scientist and IT professional with expertise in full-stack data science solutions, big data architecture, and analytics. He holds an MS in Data Science and Analytics from the University ofOklahoma and a BS in Mathematics from the University of Dayton. With leadership roles at ECCO Select, Wellsky Corporation, and Sprint Corporation, he has managed large teams, developed AI-driven models, and modernized data architectures. As a Graduate Teaching Assistant at the University of Oklahoma, he guided students in data science coursework. His technical skills span SQL, Python, AWS, Snowflake, Neo4j, and Data Vault 2.0.
Kaustuv Ghosh
A veteran technologist, author and serial entrepreneur, Kaustuv Ghosh is co-founder of the training program alongside Matthew Lamons. He looks after strategy, revenues and concept development as well as fintech programs. He is a veteran technologist and serial entrepreneur with close to thirty years of experience in electronic and digital media, telco value-added services, sustainability, fintech, AI, tech services and blockchain.He has designed and built advanced products in crypto, fintech and sustainability and is an active dealmaker in frontier technologies. Kaustuv has co-authored “A Quick Sip-A Practical Guide to Understanding and Adopting AI” AI with Matthew and Ethan Lamons and is currently writing books on AI and Healthcare, Fintech and Lending. Kaustuv holds an MSc in Environmental Management from NUS, a PG Diploma in Communications from MICA, India and a BCom degree from Calcutta University. He teaches an online Fintech program with MYFINT Malaysia and is visiting professor at Shanti Business School, India. He is a member of the National AI Standards Council of Malaysia.