A wise man once said, “If I a chance to re-live any part of life, it would be my school days”.

Education

Masters Degree in Data Science, Indiana University (2017)

Projects

My projects and work primarily revolved around Machine Learning(supervised and unsupervised), Data Mining and Exploratory Analysis. I tried to pick data from domains such as medical, sports because of their importance.

  1. Opiate/Opioid prescription analysis using machine learning, Fall 2016 by Anirudh K Muralidhar and Arunram Sankaranarayanan.[PDF Report]

  2. Kobe Bryant’s NBA career analysis, Fall 2016 by Anirudh K Muralidhar, Siddharth Jayasankar and Vipul Munot.[PDF Report]

  3. Performance comparison of various classification algorithms for text classification, Spring 2016 by Anirudh K Muralidhar, Santhosh Soundararajan and Praneet Vizappu.[PDF Report]

  4. Performance comparison of classification algorithms for sentimental analysis and domain adaptaion on Amazon review dataset, Spring 2016 by Anirudh K Muralidhar, Srijhari Katragadda, Mohit Galvankar and Venkat Koppu.[PDF Report]

  5. Analysis of baseball data for performance measure and prediction, Fall 2015 by Anirudh K Muralidhar and Naren Suri.[PDF Report]

  6. Weighted Gene Co-Expression Network Analysis of bull-headed dung beetle (Onthophagus taurus) transcriptions across instars, population and sex, Fall 2015 by Anirudh K Muralidhar, Samuel M Durham and Guillaume J Dury.[PDF Report]

Associate Instructor

From spring 2016-2017, I have served as an Associate Instructor for the course I210 - Information Infrastructure. The course focuses on the basics of Python programming language.

My role was to lead the other Associate Instructors, supervise their performance, keep track of students score and attendance. Also, each week, conducted lab to give hands on experience to students and hold office hours as well.

Coursework

Fall 2015

  • INFO-I519 INTRODUCTION TO BIOINFORMATICS

  • INFO-I590 TOPICS IN INFORMATICS-BIG DATA APPLICATIONS/TECHNOLOGIES

  • STAT-S670 EXPLORATORY DATA ANALYSIS

Spring 2016

  • CSCI-B565 DATA MINING

  • ILS-Z604 SENTIMENT ANALYSIS

  • STAT-S626 BAYESIAN THEORY & DATA ANALYSIS

Summer 2016

  • INFO-I798 PROFESSIONAL PRACTICAL/INTERNSHIP

Fall 2016

  • CSCI-B659 APPLIED MACHINE LEARNING

  • INFO-I590 DATA VISUALIZATION

  • INFO-I591 GRADUATE INTERNSHIP

Spring 2017

  • ENGR-E599 IMAGE PROCESSING MEDICAL APPLICATIONS

Bachelors Degree in Electrical and Electronics, SSN College of Engineering (2014)