I love learning about new Technologies. My academic projects and internship experience helped me to develop many skills. Apart from academics, I like playing chess. I have been vice-captain of chess team at my undergraduate university. Being vice-captain helped me to gain leadership qualities. I have played and won many tournaments.
Master of Science in Computer Science GPA: 3.602
August 2016-May 2018
| Fall 2016 | Spring 2017 | Fall 2017 | Spring 2018 |
| Machine Learning | Statistical Methods for Data Science | Big Data | R for Data Science |
| Database Design | Design and Analysis of Algorithms | Software Testing and Validation | Software Defined Networks |
| Agile Methods | Web Programming Languages | Algorithmic Aspects of Telecommunication Networks |
Bachelor of Engineering in Computer Engineering GPA: 8.64/10
July 2012-May 2016
Intern – Mobile Application Developer May 2017-Present
• Developing the UI/UX design of VOIP based android application.
• Working on the enhancement of the features and refactoring code by adding dependency injection using DAGGER.
• Improving code quality by fixing bugs and writing JUNIT test cases to enhance automation testing.
Intern - Full Stack Developer Jan 2016-May 2016
• Developed an Android Application to allow easy communication between organizations and its employees by implementing features like feedbacks, generating polls for taking opinions, broadcasting important information, task list assigned to employees by the manager and appreciating their work by sending trophies. Also used JSON parsing for calling web services.
• Implemented using Android Studio.
Also, was responsible for writing webservices for registration, login authentication in PHP for backend.
Crowdsourcing Cyber Security
• Technologies Used: Python
Implemented algorithm to detect wide range of cyber-attacks from twitter stream data with set of seed event triggers using Jaccard distance and TF-IDF based query expansion with cosine similarity.
Mutation Testing
• Technologies Used: JAVA
Augmented existing PIT Tool with more mutators like AOR, CRCR, ROR, ABS and UOI to achieve more Mutation Coverage and perform better testing.
Library Management System
• Technologies Used: HTML, CSS, JavaScript
Developed Library Management System which allows the user to search for the books based on different criteria.
Implemented functionalities like check in, check out books and fine calculation for the late returned books.
All State Claims Severity
• Technologies Used: R
Implemented algorithms to create automated methods to predict the cost and hence decide the severity of claims by pre-processing the data and training the model using support vector machines and random forest.
Shop and Sell
• Technologies Used: Android, PHP, AWS, MySQL
Developed an android application to add products as seller and buy the items as customer.
Performance Analysis of various Machine Learning Classifiers
• Technologies Used: R
Implemented R Code to compare the accuracy of various Machine Learning Classifiers such as Decision Tree, Support Vector Machine, Artificial Neural Network, Naive Bayesian, kNN, RandomForest and Logistic Regression.
Event Planner
• Technologies Used: PL/SQL, Relational Data Model
Designed a comprehensive, detail oriented Event Planner database system using Entity Relationship model after collecting data requirements for the system.
Mapping ER model into relational data model and applying normalization to reduce data redundancy.
KAJOL PATEL
7575 Frankford Road
Dallas, TX 75252
469-610-9186
kajol9405@gmail.com