Academic foundation

Coursework by degree

The formal training behind my work in data science, machine learning, and intelligent systems.

Master of Science

Data Science

University of Minnesota · 2023–2026

Machine learning & decision systems

  • Machine Learning
  • Data Mining
  • AI for Sequential Decision Making
  • Responsible AI

Statistical & spatial analysis

  • Applied Regression & Multivariate Analysis
  • Categorical Data Analysis
  • Spatial Data Science

Data systems & communication

  • Advanced Database Systems
  • Visualization with AI
Bachelor of Technology

Computer Science & Engineering

SRM Institute of Science and Technology · 2019–2023

Computing foundations

  • Data Structures & Algorithms
  • Object-Oriented Design & Programming
  • Computer Organization & Architecture
  • Design & Analysis of Algorithms
  • Operating Systems
  • Advanced Programming Practice

Data & intelligent systems

  • Database Management Systems
  • Artificial Intelligence
  • Data Mining & Analytics
  • Natural Language Processing
  • Digital Image Processing
  • Pattern Recognition Techniques

Systems, software & mathematics

  • Computer Networks
  • Software Engineering & Project Management
  • Compiler Design
  • Formal Languages & Automata
  • Probability & Queueing Theory
  • Discrete Mathematics for Engineers
  • Calculus & Linear Algebra

Core curriculum and relevant advanced modules from SRM's official 2018 Regulations. View curriculum

Applied work

Coursework projects

Selected academic builds with objectives, methods, evidence, and deliverables.