R. Indrakumari is an Assistant Professor of Computer Science and Engineering at
Galgotias University since 2018. She has been teaching for over 14 years and 4
years of Software Industry experience and has a passion for Computer
Programming and Data Analysis. She is an expert in programming languages such
as Java, C++, and C, and data analysis tools like Excel, Tableau, and Power BI,
and has edited several books on the Subject. She is an active researcher in the
field, having published numerous papers and chapters in leading journals and
conferences. She is an active member of several professional organizations. She
is committed to inspiring students to pursue their dreams and reach their full
has been teaching for 14 years and have a wealth of experience and expertise in
a multitude of areas. She has taught in a variety of settings, including University
and Engineering Colleges. She has worked in the industry for over 4 years. She has
been responsible for developing and executing strategies, as well as delivering
results. She is highly organized and have a proven track record of success. She
is well-versed in both the educational and corporate environments.
is having a Master degree in Computer Science & Information Technology from
the Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India. She has
also completed additional courses in Data Analysis tools.
Awards & Recognition
the "The Best Faculty of the Year" by Dr. Pauls Engineering College for
the academic 2008 – 2009.
"Top Performer" by Tecksphere Company in 2016
the "Most Valuable Employee" recognition from Tecksphere Company for
the year 2017 and 2018.
the "Best Researcher" for the years 2019 and 2020 by Galgotias
has published several studies that have advanced the field of research in Data
analysis and Heart Disease Prediction. Her research has been published in
leading journals, Edited books and conferences, including Elsevier, Springer,
Taylor & Francis and IEEE. Her research has focused on topics such as
artificial intelligence, machine learning, Data Analysis and Disease
Prediction. Her work has made a significant impact in terms of both academic
and practical applications. She is striving to continue to push the boundaries
of her research with the ultimate goal of making a real-world impact and
improving the lives of people.
Area of Interest
possesses a strong interest in Data Analysis and the application of analytical
techniques to make data-driven decisions. Her experience with data-driven
decision-making has been demonstrated through her coursework, research papers,
and professional experience. She is expertise in Excel, Tableau, and R
programming to manipulate and analyse data. She has also worked with data
analytics software such as SAS, SPSS, and STATA.