Dr. Anindita Ghosal

Assistant Professor and HOD - Statistics

M.Sc. in Statistics, University of Burdwan, Ph.D in Mathematical Demography, University of Burdwan

Email: anindita.g@snuniv.ac.in

EDUCATION
Ph.D in Mathematical Demography, University of Burdwan
M.Sc. in Statistics, University of Burdwan
B.Sc honours in Statistics, University of Burdwan

RESEARCH   INTEREST
Dr. Anindita Ghosal is interested in constructing occupational mobility measures and models. She has developed three measures on the mentioned topic in her Ph.D work. Before joining here she worked as a Research fellow in Department of Statistics, University of Burdwan. In a nutshell, she has more than 17 years of teaching experiences and more than 10 years of research experiences. She has a sound experiences in various topics of Statistics, both in undergraduate as well as in postgraduate level. During the research, Dr. Ghosal has a broad experience in simulation, modeling and programming. Among the rich variety of fields in Statistics, she has very keen interest to extend her research work in the relevant and recent fields like Biostatistics, Operations Research, Artificial Intelligence and Machine learning. During that period she bagged more than 5 publications in the reputed international scientific journals. She has conducted many conferences, seminars, workshops and webinars. Prof. Ghosal has acted as the resource person in several national and international conferences. She has sound knowledge in R-programming and SPSS. Also she is a life Member of Calcutta Statistical Association, Kolkata.

PROFESSIONAL   EXPERIENCE

• Dr. Ghosal has 17 years of teaching and 10 Years of Research experience.
• She has 5 international journal and several conference publications.

RESEARCH GROUP

• Seventeen UG research students
• Five PG research students

PUBLICATIONS

• 5 Research Papers
• 1 Review Article
• 4 Conferences

TEACHING   AREA

• Operations Research
• Statistical Quality Management
• Industrial Statistics
• Linear Model and Regression Analysis
• Multivariate Analysis
• SPSS
• R-Language

ANIRUDDHA CHOUDHURI

Assistant Professor - Statistics

Pursuing Ph.D. in Statistics, University of Calcutta (Registered in 2019) , M.Sc. in Statistics, University of Calcutta, 2013

Email: aniruddha.c@snuniv.ac.in

Aniruddha Choudhuri holds a M.Sc. degree in Statistics from University of Statistics (2011 - 2013). He has also qualified JOINT CSIR-UGC Test for Junior Research Fellowship and Eligibility for Lectureship (NET) held in June 2016 (AIR 99). He is currently pursuing his Ph.D. in Statistics from University of Calcutta under the guidance of Prof. Asis Kumar Chattopadhyay having area of research as Demography.

Educational Qualifications:

• Pursuing Ph.D. in Statistics from University of Calcutta (Registered in 2019)
• M.Sc. in Statistics (Specialization in Industrial Statistics) from University of Calcutta (2011 – 2013)
• B.Sc. (Hons.) in Statistics from Asutosh College under the University of Calcutta (2008 – 2011)

Areas of Interest:

• Demography
• Industrial Statistics
• ANOVA and Design of Experiments
• Time Series Analysis
• Cluster Analysis
• C & R Programming
• Reliability Theory
• Large Sample Theory

Work Experience:

• Working as an Assistant Professor in the department of Statistics, Sister Nivedita University, Kolkata from November 1, 2022 onwards
• Working as a part time Research Scholar in the department of Statistics, University of Calcutta from December 15, 2021 onwards
• Worked as an Adjunct Faculty in the department of Mathematics, School of Basic and Applied Sciences (SOBAS), Adamas University, Kolkata from December 15, 2021 to October 31, 2022
• Worked as a full time UGC Junior Research Fellow in the department of Statistics, University of Calcutta from May 8, 2017 to December 14, 2021
• Worked as a Part Time Teacher (PTT) in the department of Statistics, Asutosh College, Kolkata from October 1, 2015 to May 15, 2017
• Worked as a Guest Lecturer in the departments of Statistics and Economics, Charuchandra College, Kolkata from August 18, 2014 to May 19, 2017
• Worked as an Assistant Manager in the department of Quality Systems & Reliability (QS&R), Tata Motors Limited, Pune from September 10, 2013 to August 9, 2014

Projects:

• Worked on a Project titled “Basic Statistics in R” under the guidance of Professor Bhaswati Ganguli, Department of Statistics, University of Calcutta
• Worked on a project titled “Oesophageal Cancer : An Epidemiological Study” under the guidance of Professor Aditya Chattopadhyay, Department of Statistics, University of Calcutta
• Worked on a project titled “A Study On Undocumented Migration (From Bangladesh To West Bengal)” under the guidance of Professor Asis Kumar Chattopadhyay and other professors of the Department of Statistics, University of Calcutta

Achievements:

• Was regularly present throughout the 12 years of my school life in St. Lawrence High School and was awarded book prizes every year from my school
• Was awarded the “R. C. Bose Book Prize” for standing first in the first two semesters of the M.Sc. 2 years course in Statistics by Calcutta Statistical Association (CSA) during the 8^th International Triennial Calcutta Symposium
• To be awarded (already applied) with the Gold Medal for standing first in M.Sc. 2 years course in Statistics (2011 - 2013) by University of Calcutta.

ARGHA NATH BHATTACHARYYA

LECTURER - STATISTICS

Double MSc (Mathematics and Statistics)

Email: argha.nb@snuniv.ac.in

Argha Nath Bhattacharyya holds PG degree from the University of Burdwan in Mathematics (2017-19) and Statistics (2019-21). He also published a research paper in Advance in Industrial Engineering, Summer 2020.

He has also qualified JOINT CSIR-UGC Test for Assistant Professor (AIR 30) in June 2021 and GATE 2022 in Mathematics. His research interests include Stochastic Process and Operations Research

Educational Qualifications:

• B.Sc. (Hons.) in Mathematics form Burdwan Raj college under the University of Burdwan, 2017.
• M.Sc. in Mathematics (Specialization in Turbulent Flows and Advanced Optimization) from the University of Burdwan, 2019.
• M.Sc. in Statistics (Specialization in Biostatistics) from the University of Burdwan, 2021.

Research Interests:

• Stochastic Process
• Operations Research

Work Experience:

• Working as a Lecturer in the department of Statistics, Sister Nivedita University, Kolkata from October 17, 2022 onwards

Publications:

Manuscript Title: Analysis of a two-storage system for advance payment policies with the partial backlogged shortage.

Projects:

                Project on “Inspecting graphically time dependent variable in HRS data.”

Biswajit Basak

Teaching Associate - Statistics

M.Sc (Specialization in Advanced Statistical Inference) from University of Calcutta, 2013. Pursuing Ph.D in Statistics from University of Calcutta.

Email: biswaji.b@snuniv.ac.in

Educational Qualification:

• Pursuing Ph.D in Statistics from University of Calcutta.
• M.Sc (Specialization in Advanced Statistical Inference) from University of Calcutta, 2013.

Research Interests:

• Statistical Inference on Synthetic Data
• Statistical Meta Analysis
• Multivariate Statistical Analysis
• Regression Analysis

Work Experience:

• Working as a full time faculty in department of Statistics, Sister Nivedita University, from September 6, 2021 onwards.
• Part time research scholar in the department of Statistics, University of Calcutta, from January 8, 2018 onwards.
• Worked as a CWTT (Contractual Whole Time Teacher) in Vivekananda College, Thakurpukur, Kolkata, from July 21^st, 2014 to July 31^st, 2016.
• Worked as a PLP (Project Linked Personnel) in Indian Statistical Institute (ISI) from August, 2013 to January, 2014.

Projects:

• Project on “Using Vectors and Matrices in R”.
• Project on “Watershed”. The analyses refer to the role of the peak rate of flow of water from six watersheds (data taken from some storm episodes) on 9 different covariates like ‘area of watershed’, ‘rainfall’ etc.
• Project on “Use of Mann-Whitney U- Statistic in Two Sample Problem”. The project is the study (by simulation) of test functions using U-statistic with an appropriate kernel, when the parent distribution is not continuous.