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Software Developer

Location:
Boston, MA
Posted:
April 23, 2020

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Resume:

AMEY ARYA

**** ******** ******, ******, ** ***** +1-857-***-****

adcxmw@r.postjobfree.com linkedin.com/in/ameyarya ameyarya.github.io Available from May 2020 to Dec 2020

EDUCATION

Northeastern University, Boston, MA Sep 2019 — Present Khoury College of Computer and Information Science Expected graduation: May 2021 Candidate for a Master of Science in Computer Science GPA: 3.83 Related courses: Algorithms, Web Development, Programming Design Paradigm and Foundations of AI. Rajiv Gandhi Technical University, Bhopal, India Aug 2011 — May 2015 Bachelor of Engineering in Information Technology GPA: 3.50 Related courses: Algorithms, Operating Systems, Data Structures, DBMS, Software Engineering. TECHNICAL KNOWLEDGE

Languages: Java, JavaScript, Python, VBScript, C, C++ Web technologies: AngularJS, HTML5, CSS, Bootstrap, AJAX, jQuery, ReactJS, NodeJS, Spring Boot Databases: MySQL, IBM Db2, MS Access, MongoDB, RESTful APIs Testing Frameworks/Tools: Jasmine, Karma, Gherkin-Cucumber, HP-UFT, Selenium, Test Complete Methodologies: Agile, MVC, OOP, SDLC

WORK EXPERIENCE

Tata Consultancy Services, Pune, India Mar 2016 — Jun 2019 Software Developer (Client - Morgan Stanley, Wealth Management Dev)

• Developed, maintained and enhanced wealth management applications using AngularJS framework and IBMDb2 as database

• Supported migration projects by running pre-developed scripts triggered by an automated sanity check on multiple machines

• Designed two add-on utilities to retrieve test data and saved development and analysis time by approx. 20-25 hours per cycle

• Unit tested critical applications using Jasmine testing framework and lowered defect count by approx. 15% per sprint

• Refactored code from MVC model to component-based model while adhering to Agile framework/protocol

• Collaborated with three team members and mentored 50+ employees on UI development tools and won best mentor award by count of votes

Automation Test Engineer (Client - Morgan Stanley, Wealth Management QA)

• Created a general-purpose gherkin-cucumber testing framework used for testing used by six verticals and won best initiative of year award by client manager

• Saved 30 man-hours per testing cycle using data mining scripts to collect data for functional and automation testing

• Created Selenium Webdriver based front-end data creation tool and reduced manual efforts for data creation by approx. 90%

• Designed three Ad-hoc utilities for quick smoke testing of critical applications during deployment cycle in both Dev and QA environment and received applause from vice president of Morgan Stanley QA

• Refactored automation scripts of five banking applications from Test-Complete to UFT and saved cost to client by 10% PROJECTS

Fantasy Premier League (FPL) — ReactJS, Java Spring-Boot, RESTful API, MySQL Apr 2020

• Developed a website to emulate FPL using public APIs where users can create their own fantasy teams with real-life players, assign points to the players based on their real-world performance and run simulation-based on weekly game weeks

• Used ReactJS for front end and Java Spring Boot as backend to do CRUD operations on MySQL via RESTful APIs

• Deployed both front end and backend on cloud services Heroku to get optimal performance, flexible for other cloud services Spam Filter (MailWasher) — Machine Learning, Python, Anaconda and Scikit-learn Dec 2019

• Developed a spam email filter using machine learning models, Naive Bayes, Decision Trees, Random Forest, SVM and kNN

• Trained and Tested ML models on public dataset with 1000 emails and with a train-test ratio of 9:1

• Preprocessed and cleaned datasets using sophisticated techniques like Word stemming, Lemmatization and Normalization

• Used 3000 most frequent words and created features matrix to train and test all ML models with accuracy of 97.69% by NB Image Editor (PhotoEditor) — Java, Swing, IntelliJ Nov 2019

• Created a Java Swing application using MVC architecture to generate new images and apply filters on an image

• Edited images of different types by loading in app and applied filters like blur, sharpen, greyscale, sepia, dither and mosaic

• Designed a user interface using java swing containing the options to load and save edited and generated images Artificial Intelligent Agent (PacMan) — Python, Anaconda Sep 2019

• Incorporated different AI methods on the classic Pacman game using Python based on UC Berkley course on AI

• Implemented different search algorithms to help make the Pacman navigate in the maze effectively

• Used Adversarial and Stochastic search problems to build MinMax and ExpectiMax Algorithms ACHIEVEMENTS/ACTIVITIES/VOLUNTEER EXPERIENCE

• Received accolades ‘On the spot award’, ‘Star of the month’ and ‘Applause for Team’ in TCS multiple times

• Won ‘The Best Project Award’ in a competition amongst 20 learner groups held at TCS training and received 5-star rating

• Volunteered for social welfare activities in central India under The Art of Living Foundation on education and women safety



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