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Suma M N

Suma M N

Assistant Professor (Statistics)

About

Mrs. Suma M N is a Senior Statistician and an accomplished Assistant Professor in Statistics with over 14 years of extensive experience in academia, research, and data analytics. She has served as a Senior Statistician, specializing in advanced statistical methods and data-driven decision-making. With a background in working with NGOs as a Research Associate, Suma has expertise in a range of statistical software, including SPSS, Minitab, Jamovi, R programming, and Python. She is committed to academic excellence, fostering research innovation, and applying statistical insights across multiple fields.
"It always seems impossible until it's done." - Nelson Mandela

  • K. Vaijayanti, Suma MN, “Ganitha Kalika Andolana – An innovative programme for learning Mathematics”. Paper presented at Seminar on Science Education and Mathematics Education which was organized by School of Education, Azim Premji University, Bengaluru – 23rd December 2021.
  • K. Vaijayanti, Suma MN, “Longer the Exposure Better the Outcomes - Evidence from Ganitha Kalika Andolana – A Cohort Analysis”. Paper Submitted for the 9th National Conference on Mathematics Education (NCERT), RIE Bhopal.
  • K. Vaijayanti, Anuradha Mondal, Suma MN – Creating Opportunity for the Innovative Teacher – Pilot Experiment in Rural Karnataka, paper submitted at CESI conference 2016.
  • Institutional papers – The Impact of Akshara Ganitha: A Longitudinal Study 2012-13 to 2014-15 – K. Vaijayanti, Suma MN and Anuradha Mondal (https://econpapers.repec.org/paper/esswpaper/id_3a11278.htm)

  • Ph.D. research on enhancing Air Quality Index (AQI) using Markov Chain models.
  • Expertise in data modeling and predictive analytics across education, health, and business.
  • Extensive experience in quantitative and qualitative data analysis.
  • Mentored B.Sc. students and contributed to various academic projects.
  • Published papers on innovative statistical methodologies for real-world applications.
  • Committed to leveraging data-driven insights for societal and environmental issues.
  • Research Interests:
  • Applied Statistics, Public health, Educational Research, Environmental Statistics

  • Achievements as a Resource Person

  • Facilitated Workshops at AIISH: Successfully conducted multiple workshops on statistical software applications (SPSS and R programming), enhancing participants’ practical skills in data analysis.

  • Contributed to Faculty Development: Played a key role in the Faculty Development Program at AIISH, empowering faculty members to incorporate statistical tools into their curriculum effectively.

Assistant Professor (Statistics)

Institute: School of Business

M.Sc in Statistics, (Ph.D.)

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