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Sinchan Snigdha Adhikary Sinchan Snigdha Adhikary Curriculum Vitae Graduate Student, Dept. of ORFE Princeton University Contact Information Permanent Address : E-mail: [email protected] B.R.M.B. Road, Mother Teresa Sarani, Ismile, Asansol, PIN- 713301, Paschim Bardhaman, West Bengal, India. Personal Sex: Male Information Date of Birth: 22nd February, 1997 Place of Birth: Asansol, West Bengal, India Citizen: Indian Education I. (Pursuing) PhD program, ORFE, Princeton University (2020-present) II. Master of Statistics (M. Stat), Indian Statistical Institute, Kolkata (July 2018 - June 2020) 1. Total Percentage Score: 83.7% 2. Specialization: Advanced Probability III. Bachelor of Statistics (B. Stat)(Hons.), Indian Statistical Institute, Kolkata (July 2015 - June 2018). 1. Total Percentage Score: 78.61% 2. Major: Statistics IV. Higher Secondary Examination (Std 12), Asansol Old Station High School, (June 2013 - May 2015) 1. Total Percentage Score(Best 5 subjects including languages): 95.0% 2. Courses: Bengali, English, Mathematics, Physics, Chemistry, Biology V. Secondary Examination (Std 10), Asansol Ramakrishna Mission High School, (May 2003 - May 2013) 1. Total Percentage Score: 93.0% 2. Courses: Bengali, English, Mathematics, Physical Science, Life Science, History, Geography. Academic Achievements • Unofficial GRE Scores (Exam date 1st July, 2019): Quantitative 169/170, Verbal 157/170, and Honors Analytical Writing 3.5/6 . • Unofficial TOEFL Scores (Exam date 4th October, 2019): Reading 29/30, Listening 25/30, Speaking 22/30, Writing 27/30. • Unofficial Mathematics Subject GRE Scores (Exam date 26th October, 2019): 970 out of 990, percentile 99% . 1 • Secured All India rank 1 in National Eligibility Test (Mathematical Sciences), held by CSIR-HRDG India-wide at 16th June, 2019. • Awarded prizes in form of books by the institute in 1 semester out of 6 in bachelor's degree program. • Selected among the top 60 students from all over India, admitted for the B.Stat (Bachelor of Statistics) (Hons.) Course at the Indian Statistical Institute, Kolkata. • Ranked 74 among worldwide individuals in Simon Marais Mathematics Competition, 2018. • Selected among the top students from all over India, admitted for the B.Sc. (Hons.) in Math- ematics Course at the Chennai Mathematical Institute, Chennai; in the year 2015. • Secured 7th rank in West Bengal Joint Entrance Examination(Engineering) and 168th rank in West Bengal Joint Entrance Examination(Medical) in the year 2015. • Secured All India rank 2403 in JEE advanced in 2015. • Was invited to and attended National Science Camp (Vijyoshi-2014) organised by KVPY and Department of Science & Technology of India. • Secured All India Rank 18 (in SA category) and selected for prestigious KVPY Scholarship awarded by Department of Science & Technology of India in the year 2013, which is being received 2015 onwards. • Secured All India rank 1 among class XI participants in SOF-IMO in 2013-14. • Was selected for National Talent Search Examination scholarship in the year 2011, received it during 2011-2015. Projects • Title:(Project) Embedding of the Urn models in continuous time Markov branching pro- cesses and relations of the limit theorems. • Abstract: Generalized versions of Polya's urn model can be embedded into multivariate continuous time branching processes(Athreya, Karlin) and the limiting properties of urn model are studied using the analogous results of Continuous time branching processes. There are well established results under the assumption of L log L moment for the Branching process. In the recent paper of Gangopadhyay, U. and Maulik, K. (2019), convergence results of the urn model have been established under weaker conditions than L log L moment assumption and iid reinforcement matrix. Our motivation is to inspect the similar limit theorems of the Branching process under these weaker assumptions. • Guide: Dr. Krishanu Maulik (Statistics and Mathematics Unit, Indian Statistical Institute, Kolkata) • Title: Document Classification using different statistical models.(alongwith Alokesh Manna, Anupam Shit) • Abstract: Unlike any structured data, texts in human languages being unstructured type of data are not easy to analyze by computers directly. Hence, Document classification is ex- tremely important across different fields like library science, information science and computer science. In this project, some statistical techniques and tools (e.g. probabilistic latent seman- tic analysis, latent Dirichlet allocation, learning vector quantization etc) to do so was explored in classifying the texts into their genres. • Guide: Dr. Soumendu Sundar Mukherjee (Interdisciplinary Statistics Research Institute,Indian Statistical Institute, Kolkata) • Title: Robust Minimax Stein Estimator under Invariant Data-based Loss for Elliptically Symmetric Distributions.(alongwith Anupam Shit, Kaustav Chatterjee) 2 • Abstract: In this project, we studied the paper by Fourdrinier, D. and Strawderman, W. (2015).From an observable (X; U) 2 Rp × Rk , we consider estimation of an unknown location parameter θ 2 Rp under spherically or elliptically symmetric with an unknown covariance matrix. Evaluation of θ is done using common invariant loss and data-based loss. Then, the authors provide new Stein and Stein-Haff identities that allow analysis of risk for these two new losses. In these cases, including the multivariate t and, in particular, the multivariate Cauchy, we find improved shrinkage estimators as well. • Guide: Dr. Abhik Ghosh (Interdisciplinary Statistics Research Unit, Indian Statistical Insti- tute, India) • Title: Positron Emission Tomography as a Stochastic model. (alongwith Rohan Hore) • Abstract: In this project, we tailor a mathematical model(based on Nonhomogenous Poisson Process) to the physics of Positron emissions, and using the model we pose the basic image reconstruction problem of PET as a standard problem in statistical estimation from incomplete data. We employ various estimation procedures to this image reconstruction problem. A computer simulation of a PET experiment is then used to demonstrate and evaluate the reconstructions. • Guide:Dr. Anup Dewanji (Applied Statistics Unit, Indian Statistical Institute, Kolkata) • Title:(Comprehensive Statistics Class Project) Perception and Expectation of Inflation { a case study. • Abstract: In order to find about the perceived effect of the inflation in the past one year and how it would likely change the expenditures in the next one year for the people in the surrounding area of ISI Kolkata; the class students posed a questionnaire to a stratified sample and the obtained data was analyzed to find the general perception of a steadily positive rate of inflation. • Guide: Prof. Bimal Roy and Prof. Debashis Sengupta (Applied Statistics Unit, Indian Statistical Institute, Kolkata) • Title: Low-dimensional Projection of Data Using Stochastic Neighbourhood Embedding. • Abstract: Classical dimensional reduction techniques like PCA, or Metric Dimensional Scal- ing (MDS) may be used sometimes for dimensionality reduction, represents badly in case of non-linear manifold data, because these methods try to preserve large pointwise Euclidean distances, while in most cases small pointwise distances are ignored. The Stochastic Neigh- bourhood Embedding (or the t-distributed variant) uses an objective function based on the difference of configurations (pairwise distances applied to a normal/t density) of the original data and tries to minimize this. In this project, the paper of van der Maaten(2008) was read and implemented. • Guide: Dr. Sourav Sengupta (School of Computer Science and Engineering, Nanyang Uni- versity of Technology, Singapore) • Title: Fluctuations in Coin Tossing and Random Walks. • Abstract: This was a reading project about simple (non-/)symmetric random walks in Z. We studied various properties of random walk like return-to-origin probability after 2n steps, thereby determining the recurrence of the simple random walk iff it is symmetric, and in the symmetric case the expected time of first return be infinite (Null recurrence). We also observed the ballot problem and arc sine law of last visit. • Guide: Dr. Parthanil Roy (Statistics and Mathematics Unit, Indian Statistical Institute, Bangalore) Technical Expertise C, R, LATEX, Python Other Information • Extra-Curricular Achievements: • Participated with school friends in NASA Space Settlement Contest held in January 2015, secured overall third position in our age group. 3 • Positions of Responsibility: • Member of literary affairs committee of ISI hostel in 2017-18. • Organised Chess events in ISI as part of Integration in 2017 and 2018. • Languages Known : English, Bengali, Sanskrit. • Hobby : Reading stories and literary works, listening to music (Rabindra Sangeet). • Extra-Curricular Activities : Story writing, Chess. I hereby do certify that all the above information is true to the best of my knowledge. Sinchan Snigdha Adhikary 20th January, 2021 4.
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