Bridging technology, management and real-world practice.
Neil Harwani’s academic work spans data science, artificial intelligence, databases, information systems, business analytics, operations, digital transformation and enterprise technology—connecting classroom foundations with hands-on industry experience.
Current teaching assignments
Recent classroom engagements across Narayana Business School and PDEU, with a focus on applied computing, information systems, databases, analytics and finance-oriented AI.
Linux Shell Scripting
Management Information Systems (MIS)
Relational Database Management Systems (RDBMS)
Data Visualization using Tableau
AI & Python in Finance
Data Science using Python
The supplied update listed six current subjects; all six are included here.
Selected academic experience
A cross-disciplinary portfolio across business schools, universities and professional learning environments.
Recent university & professional teaching
R Programming for Data Analytics; Business Process Re-engineering at PDEU; Big Data Architecture & Infrastructure for FOM University Germany via Keystone; Tableau & Power BI; strategic consulting; Excel/AI-ML training; and specialist sessions in cybersecurity, agentic AI and time-series analytics.
Analytics, data engineering & management systems
Teaching and training across data mining, data warehousing, business intelligence, R/Python, Big Data, MIS, AI/ML, ERP, Tableau, Google Data Studio, Agile and DevOps.
Visiting Faculty / Assistant Professor / Area Chair — Decision Sciences
Designed, planned and taught Operations Management, Systems, Decision Science, Information Technology and Analytics subjects for PGDM/MBA learners, including data science, business analysis, AI, data mining, statistics, SQL, BI, cloud and Python.
Foundational management technology teaching
Academic engagements covering business analysis, data warehousing, operations management, e-business, databases, data structures, TQM, Big Data/NoSQL, data mining and business intelligence, along with MBA Business Analytics teaching.
Academic domains
Subjects are taught with an applied, architecture-aware and industry-linked perspective.
Universities & learning partners
- Narayana Business School (NBS)
- Pandit Deendayal Energy University (PDEU)
- Nirma University / Institute of Management, Nirma University
- IIT Gandhinagar
- Ganpat University & Victoria University collaboration
- GLS University
- NIPER
- Marwadi University
- FOM University, Germany (via pathway program)
- Manipal University Jaipur
- IIT Jodhpur and professional / law-enforcement learning sessions
Selected invited sessions
Representative engagements from the broader speaking and training record.
Collaborate on teaching, FDPs, executive education or research.
HSOPC works at the intersection of enterprise technology, AI, open source, data, systems engineering and education. Academic institutions can engage for courses, workshops, faculty development, industry lectures, curriculum inputs and applied research collaboration.
