Information Systems Graduate

AKSHAY CHOUDHARY

** ******** *****, ******, ** **120 ● 857-***-**** ● ac1ozu@r.postjobfree.com EDUCATION:

Northeastern University, Boston, MA Sep 2015 – Aug 2017 Master of Science in Information Systems

Relevant coursework: Application Engineering and Development,Web Design and User Interface,Algorithms,Web Development Tools and Methods,User Interface Design and Testing, Advanced Data Science, BigData Engineering. Mumbai University, India Jun 2011 – Jun 2015

Bachelor of Engineering in Information Technology

Relevant Coursework: Data Warehousing and Data Mining, Object Oriented Programming, Internet Programming, E commerce, Software Engineering, Database Management System. SKILLS:

Programming Languages: Java, C#, C++, Python and R. Technologies: HTML5, CSS3, Bootstrap, JavaScript, JQuery, Ajax, AngularJS2.0, Node.js, ReactJS, Hibernate. Frameworks: Spring Web MVC, ASP.NET MVC, Hadoop-MapReduce. Platforms: NetBeans 8.0.2, Eclipse, MySQL, SQL Server 2016, Microsoft Azure, Moqups, Microsoft Axure. Web Servers: Tomcat Apache 8.0.

WORK EXPERIENCE:

Software Cloud Intern, Olympus Scientific Solutions America Jun 2016 – Dec 2016

Developed a full stack application for Vanta XRF analyzer using the ASP.NET MVC framework along with SQL Server 2016 for analyzing the results of the XRF beam.

Designed and implemented the front end using HTML5, CSS3, JavaScript along with JQuery for auto completion, validations, date picking while controllers were developed using AngularJS2.0.

Performed Sentiment Analysis of Twitter data for Olympus products using MS Azure services such as Azure Machine Learning, Stream Analytics, Logic Apps and Event Hub along with PowerBI for visualizations.

Conducted predictive analysis for data received from hardware devices such as XRF using the Azure Machine Learning Studio where R scripts were used for Data Cleaning and the results were fed into Azure SQL databases from which PowerBI reports were generated.

ACADEMIC PROJECTS:

Real-Estate E-commerce Website Apr 2016

Designed and developed a real estate website using Spring MVC Framework where sellers could post a property for sale and buyers would be able to see and contact seller for those listings. Features such as Annotated Controllers, Spring Security for validations and AngularJS for user-registration validation were implemented.

Used Hibernate ORM for managing database along with JSON and Ajax for querying the database with the help of Hibernate Query Language (HQL).

Wikipedia Website - Redesigned Dec 2016

Demonstrated design skills by redesigning Wikipedia website using tools such as Moqups, Balsamiq and Axure.

Conducted interviews, survey and Card Sorting Analysis to understand user perspective for current wiki design.

Performed A/B testing, Usability testing and functional testing using Selenium IDE. E-Sports Nov 2015 - Dec 2015

Built an e-commerce sporting equipment webpage using HTML, CSS, Bootstrap for designing and JavaScript, JQuery for providing customer Login through Google Api and also for validations.

Used Ajax for displaying different products on the same page that would minimize the time taken to display the requested page by client.

Lending Club Interest Rate Predictor Application April 2017

Created a classification model on Azure ML Studio for Lending Club dataset to classify whether a request for loan should be approved or rejected and on approval predict the interest rate using the prediction model deployed.

Deployed the application using the Spring MVC framework and the Rest API generated from the classification and Prediction models were used to make calls to the application. Smart Roads Nov 2015 - Dec 2015

Developed a desktop application in Java and Swing that could notify drivers of improper road conditions caused due to heavy snow or rainfall with the help of sensors.

Real-time audio capturing by the department manager and displaying audio notification on driver’s dashboard along with it threading was used to simulate sensors that could generate random data.

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