1. Nishi Shah
nkshah6@asu.edu 1140 E Orange St, Tempe, AZ, 85281 +1(699)264-8479
https://www.linkedin.com/in/nishi-shah
SUMMARY
Computer Science graduate student adept at Analytical and leadership skills. Have a prior experience with Software
Development as an intern at Amazon Development Center.
EDUCATION
M.S. in Computer Science May ‘18
Arizona State University, GPA : 3.89/4 Tempe, Arizona
Bachelor of Technology in Computer Engineering May ‘16
Nirma Institute of Technology, GPA : 8.55/10 Ahmedabad, India
MAJOR COURSEWORK
 Data Structure and Algorithm, Analysis of Algorithms, Object Oriented Programming, Database Management System,
Computer Network, Data Mining, Machine Learning, Distributed and Multi process OS, Web Designing Technologies
PROFESSIONAL EXPERIENCE
Software Developer Intern January ‘16 – July ‘16
Amazon Development Centre Chennai, India
 Independently managed the project of developing automated test cases for Fire Operating System Stability (python)
and found out the flaws in existing automation.
 Improved the success rate of automation from 20-30% to 95-98% by designing more generalized page object model for
anticipated UI changes; Reduced execution time drastically by introducing parallel processing and lock service.
Teaching Assistant Present
Web Development Course Arizona State University
 Help the students with their course work and for debugging their codes.
TECHNICAL SKILLS
Coding Skills - Java, C++, Python(Prior Experience) , SQL, XML, C, HTML5, CSS, R, , JavaScript ,JSON, Linux scripting
Software Tools – Microsoft Office Suite, Weka, GIT, MATLAB, Visual Studio, Eclipse, PyCharm, R-Studio, Dream weaver
Technologies - Numpy, Scipy libraries, UI Automator, Appium test Automation framework. D3 libraries, Bootstrap
Operating Systems - Unix shell scripting, Windows
Additional – Knowledge about Supervised and Unsupervised Machine Learning algorithms, Quick Learner
PROJECTS
Web Development for Arizona’s SpaceX Hyperloop Competition Team November’ 16
 Developed the website for Hyperloop competition team to make sponsorships and registration process easier.
Technologies used: Bootstrap, HTML5, CSS, JavaScript
 Collaborated with different marketing and business teams for finding out their requirements and added the features on
the website accordingly.
Visual Recommendation August’ 16
 Extracted profile data of Cross Validated website users from APIs using different SQL queries and applied data
cleaning to remove stop words from question answers.
 By analyzing the profiles of most reputed users from cross validate website, found interesting factors which contributed
to users’ high score which helps the new users to improve their score on online website.
 Designed visualization and made it interactive using d3 libraries to draw intelligence from unprocessed data.
Kaggle Challenge : Prediction of Airbnb New User Bookings August’ 16
 As a Machine Learning project, Implemented the Classification system using supervised learning algorithms (Naïve
Bayes, Logistic Regression, KNN, Boosting and Ensemble) to precisely predict the country for new users’ first
travel experience, Used deep learning for missing value imputation.
 Libraries used : scikit learn, pandas and numpy libraries.
Power point Presentation on ‘Live Virtual Migration in Cloud Computing’. May’ 15
 Discussed techniques for Live Virtual Migrations and their applications, tradeoffs and advantages.
Data Structure and Algorithm Project November’ 13
 Implemented Operating System scheduling algorithms of FCFS, SJF, Round Robin.
 Implemented Client Server program in C language through message passing and by semaphores and queues.