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State University Computer Engineering

Location:
Phoenix, AZ
Posted:
April 27, 2017

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Resume:

SALONI SHAH

**** * ********** *****, #****, Tempe, AZ 85281

480-***-**** acz0cq@r.postjobfree.com https://saloni29993.github.io/ https://www.linkedin.com/in/salonishah29 EDUCATION

M.S. in Computer Science, Arizona State University. GPA 3.5 (Expected) May 2017 B.E. in Computer Engineering, University of Mumbai, India. GPA 3.5 May 2015 Diploma in Computer Engineering, University of Mumbai, India. GPA 3.65 May 2012 EXPERIENCE

LaneTerralever, Intern - Developer Summer 2016 – Fall 2016

• Worked in an Agile environment to develop exceptional websites for Fortune 500 companies to help them improve their business outreach using React JS, Vanilla JavaScript, HTML5, CSS3 & Bootstrap.

• Elevated search rankings by 2x with advanced SEO techniques, improving page speed and cross-browser compatibility.

• Developed WordPress CMS Themes & Plugins for easy social share and interactive form fills.

• Tested and Integrated cross-browser compatible emails for improved marketing with MailChimp, Litmus, Campaign Monitor, Exact Target and Act-On.

GeoDa Center – Arizona State University, Web Developer Summer 2016

• Developed User-Interface components for open source ChainBuilder framework using PHP, D3.js, JavaScript, Chart.js to help focus on design, usability, intuitiveness, enterprise-level stability and integrative capabilities.

• Facilitated augmented collaborative decision-making by creatively developing multi-screen environments. Origin Systems, Developer Intern Spring 2014

• Designed and built a content management system using PHP, MySQL that allows students and professors to manage their academics and gives insights on student progress on a dashboard using JavaScript, JQuery, HTML, CSS. TECHNICAL SKILLS

Technologies: Java, JavaScript, PHP, SQL, HTML, CSS, JQuery, AJAX, C#. Frameworks/Libraries: WordPress, Twitter Bootstrap, D3.js, Highcharts, Chart.js, Sass, Tableau PROJECTS

Intelligent Visual Analytics System (Fall 2016)

• Developed an intelligent analytics dashboard using cross-linked visualizations using JavaScript, D3.js & SVG that give user an overview of the content being discussed on the WebMD healthcare discussion forums.

• Scrapped data from various websites line WebMD & Mayo clinic using Java & PHP.

• Performed Text Mining to discover interesting patterns in the data and visualized it on the dashboard to get details-on-demand. Study Guide Genie (Spring 2016)

• Developed a dynamic web-based hybrid recommendation system using PHP, JavaScript & AJAX based on Collaborative Filtering

& Content-based recommendation algorithms for its users to create a study guide.

• Scraped, Indexed and Processed the data from peers’ notes, cheat sheets and Java docs using Jsoup & Elasticsearch. Interactive Data Visualization (Fall 2016)

• Created data visualizations to discover patterns/trends from given Stack Overflow and Tennis Dataset.

• Developed interactive scatter plot, line chart, pie chart and stacked bar chart from scratch using D3.js, JavaScript, JSON and Tableau.

Java Recommendation Engine (Fall 2015)

• Implemented a content based recommender by recommending similar content from Java Wikibooks to user’s search query.

• Crawled and Indexed the content from Java programming Wikibooks using Apache Lucene and Java.

• Developed a web application server to bolster search functionality and display results using JSP. Gradebook using REST services (Fall 2015)

• Developed a web application and created RESTful API with Java that allows a Teaching Assistant/Grader to maintain student information using CRUD functionalities.

Personalized Image Search for Photo Sharing Service (Spring 2015)

• Created a web application that allows users to search images and get personalized results based on browsing history using Java, JavaScript, HTML, CSS.

• Performed classification and clustering based on tags obtained from Flickr Images. Doctor Diary (Fall 2014)

• Developed a web application using PHP, JavaScript, AJAX, Bootstrap to perform sentiment analysis on users social media feed and help them tackle stress by providing remedial solutions.



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