Sourav Mukherjee

Graduate Teaching Assistant

University of Florida•  August 2016 - Present

1. Assisting faculties in teaching-related duties. 2. Instructing Undergraduate and Master’s students from various departments who take Statistics and Probability courses offered by the Department of Statistics at the University of Florida. 3. Holding office hours every week to assist the students in clarifying their doubts and questions related to the course. 4. I served as a TA (Teaching Assistant) for the following courses: STA 3100: Programming with Data (Fall 2021, Spring 2022) STA 6326: Introduction to Theoretical Statistics I (Fall 2020) STA 3032: Engineering Statistics (2017–2018, Summer 2020) STA 3024: Introduction to Statistics II (Fall 2020, Spring 2018) STA 4853: Introduction to Time Series (Spring 2020) STA 2023: Introduction to Statistics I (Summer 2019, Summer 2018) STA 4210: Regression Analysis (Spring 2019) STA 4321: Introduction to Probability (Fall 2016)

Graduate Research Assistant

University of Florida•  May 2021 - July 2021

Served as a Graduate Research Assistant under Prof. Rohit Patra (Assistant Professor, Department of Statistics, University of Florida).

Course Instructor

University of Florida•  January 2021 - April 2021

1. Sole instructor for "STA 4321: Introduction to Probability" in Spring 2021 at the University of Florida. 2. Created syllabus, course materials and lectured three times a week to a class of 50 undergraduate students from various disciplines and backgrounds. 3. Gave exams, quizzes, homework, and graded copies. 4. Held regular office hours after giving lectures to help the students to clarify their doubts and questions related to my classroom lectures.

Graduate Research Assistant

University of Florida•  August 2019 - December 2019

Served as a Graduate Research Assistant under Prof. George Michailidis (Professor and founding Director for the UF Informatics Institute).

Summer Intern

Central Statistics Office (CSO), Industrial Statistics Wing, Govt. of India.•  May 2015 - June 2015

1. Responsible for modeling production functions for several industry data. 2. Considered a revised Cobb-Douglas production function and fitted it upon three different industry data: Manufacturing of food products, textiles, and machinery & equipment. 3. Implemented Multiple linear regression (MLR) using running R codes on the datasets to get the estimate of ex-factory value of output for each data set, showed good fits, with adjusted R^2 > 0.9 in all three cases. 4. Compared results of 'Test for Constant Returns to Scale'.

Summer Intern

Indian Statistical Institute, Kolkata•  May 2014 - July 2014

1. Worked on a special Sudoku puzzle called ’Sudoku Hexagon’ with a total of 37 cells. 2. Using graph theory and a brute-force R computational search, found an excellent bound (between 6 and 12 cells) on the minimum number of clues/cells that should necessarily be given in such a puzzle to have only one way of completing it.