About
Anusha Kumar is a M.S. - Ph.D. dual degree research scholar in the Department of Management Studies, IIT Madras. Anusha has completed her B.E. Computer Science and Engineering with distinction from Sri Venkateswara College of Engineering, Anna University, Tamil Nadu.
Her research interests include Experimentation, Data Analytics, Machine Learning, and Applied Statistics. As part of her research program, she is currently working on resource optimization in non-stationary online experiments.
Publications/Conference Proceedings
Nandan Sudarsanam, Anusha Kumar, Daniel D. Frey (2022) “Quantifying the maximum possible improvement in 2k experiments”, Research in Engineering Design 33, 367–384. https://doi.org/10.1007/s00163-022-00390-3.
Anusha Kumar and Nandan Sudarsanam (2019) “Automated Kano Model Categorization of Aspects from Online Ratings”, International Conference on Computers and Industrial Engineering (CIE-48).
Technical Skills
- Programming languages: R, Python, MATLAB, C++, C, HTML, PHP, Java
- Databases: MySQL, Microsoft Access
- Other software/tools: Excel Solver, Wolfram Mathematica, LaTeX, Heflo BPM
Certifications
- Machine Learning A-Z: Python & R in Data Science, Udemy
- MATLAB Onramp, MathWorks
- Mastering Data Visualization with R, Udemy
- Certified Machine Learning Practitioner, Henry Harvin Education
Teaching Assistant Experience
Probability and Statistics for Data Sciences, Business Research Methodology, Fundamentals of Operations Research, Introduction to Data Analytics, Predictive and Prescriptive Data Analytics