Course coordinator's profile(s):

Dr. Amit Pimpalkar is an assistant professor at the School of Computer Science and Engineering at Ramdeobaba University, Nagpur. He has 19+ years of enriched academic and industrial experience. He earned his PhD in Computer Science and Engineering from Sathyabama Institute of Science and Technology, Chennai. He received his Master of Technology from Shri Ram Institute of Technology, Jabalpur, a Bachelor of Engineering from Nagpur University, Nagpur, and a diploma in Computer Technology from Maharashtra State Board of Technical Education, Mumbai. He has published over 80+ research articles and book chapters in International Journal and Conference proceedings. He had ten National and an International Patent on his name. He had four copyrights in his credit from the Government of India. He is a Life Member of ISTE, IAENG, ICSES, CSTA, and IEEE. He is a BoS Member of Nagpur, Surydoya College of Engineering and Technology. He served as a judge and keynote speaker for many projects, hackathons, research paper presentations, and conferences. He is an active reviewer for many national and international conferences and journals, including IEEE Access, Wiley, Hindawi, Elsevier, Heliyon, and the Journal of Sensors. He is a PhD supervisor at Ramdeobaba University, Nagpur, guiding many P.G. and U.G. students. He has a demonstrated history of working in the software industry and is skilled in Software Testing, Python, and C. His research interests include data mining, machine learning, and natural language processing.

Course Co-coordinator's profile(s):

Dr. Poonam T. Agarkar completed her Doctoral degree in the field of Wireless Sensor Networks to design and develop an efficient routing protocol from RTMNU and Y.C.C.E Nagpur as her Research center, did M. Tech in Electronics and B.E. in Electronics and Telecommunication from Y.C.C.E, RTMNU. She had worked as an Assistant Professor for 8 years, as a visiting professor at Government Engineering College Nagpur for 3.5 years, and had a total work experience of 11.5 years. She has published papers at 8 international conferences, including 4 IEEE, 6 SCOPUS Indexed journals, and 2 SCIE journals. She has taught various subjects like CCN, VHDL, Electronics Instrumentation, Communication Engineering, Image Processing, Data Science etc.

Course Contents:

Course Outcomes:

• Understand core concepts of data engineering, databases, and big data technologies.
• Grasp the principles of data pipelines, ETL processes, and data warehousing.
• Use Python and SQL to manipulate and analyze data.
• Debug and troubleshoot data pipelines, optimize performance, and identify data quality issues.
• Evaluate different data engineering tools and techniques to select the best solution for a given problem.
• Design and implement complex data engineering solutions, including data pipelines, data warehouses, and machine learning models.