Rambabu Maurya
Data Scientist|Psychometrician & Adaptive Learning@ Tata Consultancy Services | Master\'s in Statistics
- Role
- Data Scientist Psychometrician at Tata Consultancy Services
- Location
- Varanasi, UP, IN
- LinkedIn followers
- 500 followers
About Rambabu Maurya
I work as a Psychometrician and Data Scientist at Tata Consultancy Services, where I contribute to building next-generation educational assessment systems. My work focuses on enhancing Computer Adaptive Testing (CAT) and Multi-Stage Adaptive Testing (MSAT), ensuring more accurate and efficient ability measurement across large-scale testing environments.With a Master’s in Statistics from Banaras Hindu University, I combine strong statistical foundations with practical expertise in machine learning, deep learning, and NLP. I apply these skills to develop IRT-based item calibration models, ability estimation algorithms, and data-driven insights that power high-stakes assessments.At TCS, I’ve contributed to designing innovative rating models, implementing evidence-based cheating detection methods, and building secure, scalable measurement solutions. I’ve also led distraction-analysis research using NLP and behavioral data to significantly improve assessment accuracy and examinee profiling.I am passionate about integrating measurement science + AI to create smarter, fairer, and more adaptive testing systems. I’m continuously exploring advancements in algorithmic test design, psychometric modeling, and interpretable AI to strengthen the future of assessments.
Experience
Data Scientist Psychometrician
Sep 2022 — Present · Pune, IN
Worked on advancing Computer Adaptive Testing (CAT) for personalized assessments. Utilized CAT to estimate student traits, such as ability and item difficulty. Contributed to Multi-Stage Adaptive Testing (MSAT) for precise ability measurement. Led the development of rating models to enhance adaptive testing. Identified cheating through evidence-based methods to ensure test integrity. Applied statistical techniques, including regression, network models, supervised and unsupervised learning, and stochastic processes. Conducted distraction analysis to improve assessment accuracy.
Education
Institute of Science - Banaras Hindu University
Master's degree, Statistics
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