Data Software

DEBODEEP BANERJEE

Udichi Enclave, ***/** Kumud Ghosal Road, Ariadaha, Kolkata -700057, India

Contact:+91-917******* E-mail: ******************@*****.*** Objective

I want to explore new dimensions of the world of statistical inference. Through the ages, especially in the regime of Statistical data analysis, the inferential methods have played a revolutionary role. On that note, my interest lies in the eld of statistical inference, data mining and machine learning. My aim is to work on this eld in a more rigorous way so that my contribution enriches the subject as well as its appication in real-life cases. Areas of interest

Statistical inference

Bayesian inference

Regression analysis

R programming

Data mining

Machine learning

Education

Master of Science in Statistics

Department of Statistics, University of Madras (2016-2018) CGPA: 8.15/ 10

Bachelor of Science, Statistics (Honors)

Asutosh College, University of Calcutta (2012-2016) Percentage: 52.18%

Higher Secondary Education

Uttarpara Government High School, West Bengal Council of Higher Secondary Education (2010-2012) Percentage: 73.8%

Secondary Education

Baranagore Ramakrisna Mission Ashrama High School, West Bengal Board Secondary Educaion (2010) Percentage: 87.25%

M.Sc. Research project

Title: A study on classical inference on single binomial proportion Duration:October, 2017- May, 2018

Supervisor: DR. Subbiah M. ( Former Associate Professor, Presidency College, Chennai, India) Short description:

We revisited the problem of interval estimation of a binomial distribution.The focus has been xed on the justi cation of choice of several con dence intervals based on their respective coverage probabilities. The performances of the con- dence intervals have been analyzed with help of coverage probabilities and expected run length. Further, proposition of new interval has been placed and it has been compared with the help of coverage probability and expected run length. Technical report

Title: Comparative Analysis of Two 1 j contingency table under Bayesian perspective Authors: Deboddep Banerjee, Trina Sahoo, DR. Subbiah M. and DR. M.R. Srinivasan Duration:March, 2017- February, 2018

Publication: University department library, Department of Statistics, University of Madras, February, 2018 Short description:

This study has exploited these aspects into categorical data of two one-dimensional variables each with same J levels of categories. The notion focussing on the ratio of independent Beta distribution is considered using closed form approach with Gauss hypergeometric function and Monte-Carlo techniques. The entire approach is illustrated with a primary data set that aims to study the impact of gender on perceived important social issues; essential computations are 1

carried out using R program. The modelling advantages of Bayesian approach has been studied and the results are directly interpreted regarding the context of the problem. Paper presentation

Presented Paper in International Conference on Theory and Application of Statistics and Information Science, 2018 Topic- Comparative Analysis of Two 1j contingency table under Bayesian perspective

Presented paper in National Conference on Dimensions of Sustainable Economic and Business Development organised by Marian College, Kuttikkanam, 2018

Topic- CSR and Sustainable Development: An Analysis of Practices in India Paper publication

One of my papers has been published in a UGC (University Grant Commission) approved journal. Journal name-Indian Journal of Economics and Development. Topic-CSR and Sustainable Development: An Analysis of Practices in India textbfEdition: April 2019, vol 7(4)

Internship

Institute: Indian Statistical Insitute

Topic:Data Analysis using Bootstrapping and Logistic Regression.(May, 2017- June, 2017) Certi cate program

Program title:Certi cate program on Machine learning and Arti cial intelligence Institute: Madras School of Economics

Duration: June, 2018- August, 2018

Program title:Certi cate course on Python

Institute:FITA academy

Duration: December, 2018- January, 2019(tentatively) Work experience

Organization: SPI Global Private Limited

Designation: Subject Matter Expert, Statistics

Duration: May, 2018-August, 2018

Software pro ciency

Languages: Statistical applications of C language, Python, R

Statistical analysis software: Minitab, SPSS

MS O ce suit: MS O ce (MS Word, MS Excel, MS PowerPoint)

Other(s): LaTeX, MATLAB

Awards and achievments

Secured rst place in the Inter-Departmental Quiz Competition, organized by the Department of Library and Infor- mation Science, University of Madras.

Secured rst place in quiz in the Inter-Collegiate competition, organized by the Department of Statistics, Madras Christian College.

Key skills

Language pro ciency in Bengali, Hindi, English and German (Beginners).

Ability to meet deadlines.

Eager to take challenges and deliver excellent results. Hobbies

Reading books (Mainly non- ction)

Writing stories, articles, poems

2

Contact this candidate