Data Science Expertise - Educational Analytics & Research

Educational Data Mining Expertise

Our team has deep expertise in Educational Data Mining. Working with data of over 10 million students, we have delivered actionable insights to education stakeholders at all levels.

Exam Security Case Study

Our team, through our sister company Playpower Labs, helped India's Ministry of Education and the Central Board of Secondary Education (CBSE) implement advanced statistical models to detect and prevent cheating in nationwide examinations, protecting the integrity of India's largest education system.

Analyzed responses from over 3 million candidates in nationwide examinations
Developed anomaly detection algorithms for large-scale data
Implemented real-world domain specific heuristic-based decision metrics
Maintained data integrity at scale in challenging and complex data formats

Research Excellence

Published research driving the field forward

Learning Analytics

Digital Curriculum Pacing

We developed a novel data visualization method for analyzing digital curriculum pacing. Our research paper Curriculum Pacing: A New Approach to Discover Instructional Practices in Classrooms won best short paper award at the Intelligent Tutoring Systems conference for this work.

Intelligent Tutoring Systems

Paper Based Intelligent Tutors

Our research paper explored the possibility of using data from offline sources such as paper to create adaptive learning loops in classrooms that do not have digital infrastructure.

Technical Capabilities

Comprehensive data science expertise

Statistical Modeling

• Advanced statistical analysis and hypothesis testing
• Predictive modeling and forecasting
• Bayesian analysis and probabilistic modeling
• Time series analysis and trend detection
• Multi-level and hierarchical modeling

Data Mining Techniques

• Clustering and segmentation analysis
• Association rule mining and pattern discovery
• Anomaly detection and outlier analysis
• Text mining and natural language processing
• Network analysis and graph mining

Learning Analytics

• Student performance prediction
• Learning pathway optimization
• Engagement pattern analysis
• Competency mapping and assessment
• Educational intervention effectiveness

Big Data Technologies

• Distributed computing and parallel processing
• Real-time data processing and streaming
• Cloud-based analytics platforms
• Data warehouse design and optimization
• Scalable machine learning pipelines