KHUSHBOO GUPTA

Tempe,AZ 480-***-**** kgupta.me admujc@r.postjobfree.com LinkedIn: @khushboogupta1406 GitHub: @khushboogithub Education

Arizona State University Tempe, AZ, USA

Master of Science in Computer Software Engineering Graduated Spring 2021 Relevant Courses : Data Mining, Advanced Data Structures and Algorithms, Software Verif/Validation/Testing, Agile Development,Design Patterns Banasthali Vidyapith Rajasthan, India

Bachelor of Technology in Information Technology July’15 - June’19 Relevant Courses : Soft Computing, Database Design, Object Oriented Programming, Artificial Intelligence, Software Design,Operating System Technical Skills

Programming Languages and Certifications : C++, Java, Python, PHP, Prolog, C# Frameworks and IDEs : Asp.Net, Android, Django, Bootstrap, Microsoft Visual Code and Studio, Pycharm Web Applications, Front-end, Technologies and Databases : Drupal, HTML5, CSS, JavaScript, TypeScript, MySQL, Apache Derby, SQL Operating Systems and Libraries : Windows, Ubuntu, MacOS, CentOS, Linux and Scikit-Learn, Python NLTK, Numpy, Scipy, Pandas Cloud Technologies : AWS(Basic), Docker

Professional Experience

Software Developer Intern Jan’21 - May’21

ASU,Web4site.net

● Responsible for API design and development of RESTful web services using Java Spring Boot.

● Developed the UI for a family organizer application in Angular using the Angular Material framework.

● Created the database schema in PostgreSQL for maintaining profile, users and events details and hosted the application on AWS.

● Implemented CI/CD using GitHub Actions, reducing deployment time by 20%.

● Worked within an Agile team and helped prioritize and scope features to ensure the biggest impact features were worked on first. Research Aide - Internship - On Campus June’20-September’20 WPC School of Business, Arizona State University, Tempe, Arizona, USA

● Developed an analytics dashboard for the Feeding America Food Bank in Angular and integrated it with Tableau for visualisation.

● Proposed a Software Design and Development Plan for the St. Vincent dePaul Food Bank that fused Supply Chain Management techniques with the latest software development techniques. Student Software Developer - On Campus September’19 - June’20 Herberger Institute IT, UTO, Arizona State University, Tempe, Arizona, USA

● Developed a web application for the Herberger Institute’s online system using C#,ASP.net, Razor, HTML, Bootstrap, JavaScript and SQL.

● Debugged a PHP web app and created a database in MongoDB for the institute’s library system on CentOS.

● Developed a Python data retriever application that queried and fetched student activity data in real time and integrated with a Slack bot.

● Successfully set up a local server using Lando and Docker for ASU’s Pantheon WebOps platform. Full Stack Software Engineer Intern Jan’19 - May’19 Legistify Services Private Limited, Noida,U.P.,India (Startup)

● Migrated an existing system that handled the Legal Q&A on the Legistify website from PHP to Django.

● Implemented the Edmond-Karp Algorithm for Maximum Flow using Python and the Django framework thereby improving the Query Distribution System for lawyers and achieving an accuracy of 90%.

● Implemented Guided-LDA Algorithm for predicting Query-Category tagging using machine learning techniques in Python/ Scikit Learn/Numpy/Pandas and achieving an accuracy of 88%. Also worked on Python based API scripts to mine data.

● Implemented TF-IDF, Bag of Words and Word2Vec for Text Semantics based similarity Academic Projects

Trending News Detection Masters, Fall’20

● Created a ‘Trending News Detection’ system that included a web application created using Java Spring Boot for backend and Angular for frontend. The data for the application was collected from several social media sources and transformed into semantic representation using OWL (Web Ontology Language).

ASU,Data Mining Project Masters, Spring’20

● Performed various feature extraction techniques on the large data sets provided by efficiently using the Python libraries like pandas, scikit-learn and numpy achieving a 80% accuracy and Performed clustering algorithms like Kmeans,knn and DBSCAN for grouping the provided data.

Speech to Text Utility Application using Java and CMU Sphinx4 libraries Bachelor’s, Spring’18

● Desktop application for hands-free approach working on a predefined trained data with 90% accuracy and Designed UI using Java Applet and queried data from Apache Derby DBMS, mathematical calculations results and open-shut installed applications through voice commands with 90% accuracy

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