Mr. N. Vellingiri
Assistant Professor – Data Engineering & Generative AI
Academic Area
Data Engineering
Biography
Mr. N. Vellingiri is a Data Engineering faculty member with over 20 years of combined teaching and IT industry experience. His work focuses on data acquisition, processing, storage, and analytics-driven problem solving.
He completed the “Data Engineering for the Social World” program at the London School of Economics and Political Science (LSE), UK, strengthening his applied understanding of data systems in real-world contexts. He brings strong expertise in Python programming, web scraping, Oracle and MySQL database systems, data warehousing, and exploratory data analysis (EDA).
His teaching integrates structured data engineering workflows with practical analytics applications, preparing students for data-driven decision environments.
Teaching Areas
- •Data Engineering
- •Data Acquisition & Web Scraping
- •Database Management Systems (Oracle, MySQL)
- •Data Warehousing Concepts
- •Exploratory Data Analysis (EDA)
- •Generative AI Applications
- •SQL for Data Science & AI
Workshops & Industry Engagement
- •Workshop: “SQL for Data Science and AI” – RVSCAS
- •Workshop: “SQL for Data-Driven Decision Making” – RVSCAS
- •Workshop: “Data Analysis Using SQL: From Raw Data to Insights” – RVSCAS
- •Workshop: “Financial Analysis Using Advanced Excel” – Multiple Institutions
- •Presentation: “Data Engineering for Social World” – MBA Orientation Program
- •Paper Presentation: Deep Learning-Based Predictive Model for Heart Disease Detection (LIST-2K25 Conference)
- •Paper Presentation: Transformer-Based Multi-Modal Deep Learning Models for Heart Disease Prediction (ICRTMAR’25)
Publication
- •Principal Component Analysis and Hybrid Fuzzy Convolution Neural Network Techniques Based Heart Disease Prediction Model — The Bioscan