Himadri S. Pandey · PhD Candidate, Machine Learning, Georgia Institute of Technology
Teaching
Teaching experience
Instructor of Record, Georgia Institute of Technology Summer 2026
ISyE 4600: Methods and Applications of Machine Learning (undergraduate)
Sole instructor for an asynchronous online section; designed the recorded lectures, quizzes, exams, and a group project.
“Explaining difficult concepts with simple language.”
“Clear presentation of the topics, very flexible and understanding.”
Teaching interests
Core courses
- Operations Management (Undergraduate / MBA core). Process analysis, capacity and queueing, inventory, and service operations, with healthcare and warehousing cases.
- Business Analytics and Machine Learning for Business (Undergraduate / MBA / MS). From prediction to prescription: regression, classification, and applied ML with an emphasis on evaluation and interpretability, building on ISyE 4600.
- Decision Models / Management Science (Undergraduate / MBA). Linear and integer optimization, simulation, and decision-making under uncertainty.
Electives and doctoral courses
- Healthcare Operations (Elective / MBA / PhD). Capacity, patient flow, clinical escalation, and diagnostic resource allocation.
- Sequential Decision-Making and Data-Driven Optimization (PhD seminar). MDPs, restless bandits, reinforcement learning, and decision-focused learning.
Earlier mentoring and instruction
At Lucas Systems (2019–2022) I mentored two data scientists and taught internal workshops, including “Machine Learning 101” and “Docker 101”. As an undergraduate at the University of Cincinnati I led supplemental instruction and tutored calculus, data structures, and programming (2015–2019), mentored high-school students through Google Ignite CS, and mentored first-year engineering students and UC CubeCats members.