Uchita is an unbelievably gifted data analyst both dedicated and innovative. Her adoration as a research analyst and her experience in predictive modeling and statistical analysis makes her one of the best in higher education. Uchita has a proven background in data mining and is experienced in the statistical software products like SAS, SPSS, SPSS Text Analysis, Minitab, R, and Mat lab.
As part of her well-balanced approach to technology, Uchita is extremely knowledgeable with Hyperion, Cognos, SQL, Excel, and Access. For many years, she has assisted in the design, development, implementation, and in the quantitative and qualitative analysis of survey research projects; she prepares reports while summarizing data and analyses that present results in a clear and concise manner for multiple audiences.
Uchita understands that data analysis plays an important role for decision support irrespective of the type of industry. Her views on data mining are cutting edge and clear. Knowing how methods such as clustering, decision tree, and why the association is applied to higher education processes, she understands these methods would help to improve students performance, their life cycle management, selection of courses, to measure their retention rate and the grant fund management of an institution.
Uchita has worked with schools to develop statistical models to predict student applications, student enrollment, and student retention. Uchita Dave is a graduate of Gujarat University, India with a BS in Mathematics and Education; she also holds MS, degree in Mathematics from the same institution. Lastly, she holds an MS degree in Applied Statistics from DePaul University.