Dr. Sai Krishna Rachiraju
VIIM Current Workshops
Dr. Sai Krishna Rachiraju
Dr. Sai Krishna Rachiraju, Sri Sathya Sai University for Human Excellence, Navanihal, Okali Post, Kamalapur, Kalaburagi, Karnataka - 585313. India. Mobile: +919945535243 Email: saikrishna.r@sssuhe.ac.in
1.Name and Academic Designation
Dr. Sai Krishna Rachiraju
Assistant Manager, Examinations, Sri Sathya Sai University for Human Excellence
2. VIIM Resource Category
Mathematical Modelling
Statistics, Data Analysis and Quantitative Modelling
Research Methodology and Research Mentoring
3. Profile
Sai Krishna Rachiraju works at the intersection of mathematical and computational sciences, quantitative measurement, educational assessment, and statistical validation. His doctoral research concerns conceptual frameworks and mathematical models for the Human Excellence Quotient (HEQ), Vision Excellence Quotient (VEQ),, Humane Quotient (HuQ) and Mathematical Thinking Quotient. His experience includes developing and operationalising assessment frameworks, coordinating university-level assessment processes, and analysing data related to educational measurement. His technical competencies include measurement-scale construction, validity and reliability testing, exploratory factor analysis, multivariate statistical analysis, SPSS, and Microsoft Excel. His work provides a practical context for exploring how mathematical modelling and statistical methods can be applied to the design, evaluation, and validation of quantitative frameworks.
4. Areas of Contribution to VIIM
Mathematical modelling of assessment and measurement systems.
Quantitative measurement and educational assessment.
Statistical analysis, validity, and reliability testing.
Exploratory factor analysis and multivariate statistical methods.
Data analysis using SPSS and Microsoft Excel.
Translating conceptual frameworks into measurable models.
Mathematical and statistical approaches to research problems.
Research methodology and guidance in quantitative research.
UG/PG projects involving statistical modelling and data analysis.