Project Software Developer

Divya Kundra

Email-id: *************@*****.***

Mobile No.: +1-201-***-****

Jersey City

PROFESSIONAL SUMMARY

Android developer with experience of 2.5 years of designing, developing and testing android applications using java language.

Adept in analyzing information system needs, evaluating end-user requirements and design solutions.

Experienced in working with clients, managers and technical teams for executing concurrent projects.

8.0 score in IELTS exam.

EDUCATION

Masters of Technology in Computer Science from Indraprastha Institute of Information Technology, 2015 Delhi.

CGPA: 9.0/10

Bachelor’s of Technology from Guru Gobind Singh Indraprastha University, 2013 Delhi.

CGPA: 8.3/10

TECHNICAL SKILLS

Tools: Disco (Data Visualization), Bugzilla (Issue Tracking System), Git

Functional Skills: UML, Data Mining and Reporting

Programming methodologies: Design and Programming using Java, Multithreaded Programming

Database: Oracle, MySQL, SQLite, PostgreSQL

Programming Languages: C, C++, C#, Java, Python, HTML, XML, MATLAB and SQL

Project Management: Agile

API: REST

IDE: Eclipse, Visual Studio and Android Studio

PROFESSIONAL EXPERIENCE

Software Developer (Jun’15 – Jan’18)

Worked as an Android Software Engineer at RC Business Development, India.

Project- Medical Healthcare System

The project aimed at creating low-cost, sensor driven mobile healthcare delivery platform.

Experience with app development on Android Studio.

Experience working with remote data via REST and JSON

Experienced working with UI designers to design the front end of the app.

Maintained and stored the data in the SQLite database.

Server side experience on Tomcat.

Project- Heart Sound Monitoring

The project aimed at creating android app that can determine the human heartbeat rate with help of electrical stetho scope attached to the smart phone.

Worked with different Android APIs to draw the front end of the app.

Creating app in Xamarin in Visual Studio using C#.

Unit-test code for robustness, including edge cases, usability and reliability.

Experience in building multithreaded application implementing AsyncTask

Project – E-learning Portal

The project aimed at creating e-learning portal providing video lectures, quizzes and documentations on various topics and subjects.

Designing and developing user interfaces using Android XML.

Knowledge of code versioning tool- Git.

Experienced on running apps on multiple devices with various screens.

Assistant Professor

(July’15 - Oct’17)

Worked as part time Assistant Professor in Computer Science Department at Delhi University, India.

Taught B.tech 3rd and 4th year students.

Teaching experience of Java, Android, Databases, Compilers and Theory of Computation.

Mentoring and guiding students to carry research projects.

ACADEMIC RESEARCH PUBLICATIONS

Divya Kundra, Prerna Juneja, Ashish Sureka ‘Parallel Implementation of Alpha Miner Algorithm and Performance Analysis on CPU and GPU Architecture’ published in BPI 2015. https://link.springer.com/chapter/10.1007/978-3-319-42887-1_19

Divya Kundra, Ashish Sureka,’An Experience Report on Teaching Compiler Design Concepts using Case-Based and Project-Based Learning Approaches’ accepted in T4E 2016. http://ieeexplore.ieee.org/document/7814827/?reload=true

Prerna Juneja, Divya Kundra, Ashish Sureka, ‘Anvaya: An Algorithm and Case-Study on Improving the Goodness of Software Process Models Generated by Mining Event-Log Data in Issue Tracking Systems published in COMPSAC 2016.

https://www.computer.org/csdl/proceedings/compsac/2016/8845/01/8845a053.pdf

ACADEMIC PROJECTS

Classifying Public Transport Complain Tweets (Dec’16 – April’17)

The algorithm was devised that would classify the complaint tweets of people regarding transport system into the respective government twitter handles.

An Experience Report on Teaching Compiler Design Concepts using Case-Based and Project-Based Learning Approaches (Jan’16 - April’16)

A Case-based and Project-based Learning environment was proposed for teaching important Compiler de-sign concepts (CPLC) to B.Tech third year students of a Delhi University (India). The results of our study show that case-based teaching of compiler concepts does enhance student’s skills of learning, critical thinking, engagement, communication skills and team work.

Accelerating Alpha Miner algorithm with parallelization on CPU and GPU (M.Tech Thesis)

(Jan’15 - June’15)

Alpha Miner is a popular algorithm within Process Mining which consists of discovering a process model from the event logs. Discovering process models from large volumes of event logs is a computationally intensive and a time consuming task. Application of parallelization on Alpha Miner algorithm was proposed and implemented. Speed up achieved on GPU was 39.3 times from the same program run over multi-core CPU.

An Algorithm and Case-Study on Improving the Goodness of Software Process Models generated by Mining Event-Log Data in Issue Tracking Systems (Aug’14 - Jan’15)

Process models generated from event logs are spaghetti-like which are complex to analyze and difficult to comprehend by a process analyst. The project aimed at improving the fitness and structural complexity of the process models. Complexity and fitness metrics were used to measure the goodness of generated process models. Varied data analytics were done to show that the proposed techniques enable better analysis.

Movie Reviewer (Aug’13 - Dec’13)

A movie analyzer was created that inputs a movie name from the user and shows the varied sentiment for the movie as expressed by people on twitter.

DECLARATION: The above information is correct to the best of my knowledge. Authorized to work on L2 EAD in USA for any employer without any sponsorship.

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