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- Last week my wife Shirin and I had the honor of hosting a dinner to celebrate this year's Intuit Award winners. These individuals role-model the…
Last week my wife Shirin and I had the honor of hosting a dinner to celebrate this year's Intuit Award winners. These individuals role-model the…
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- We have lots of good opportunities here at Striking Distance Studios. If you are interested in any of the roles, you can DM me :) Check out the…
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Experience & Education
Licenses & Certifications
Publications
Predictive Analysis: Assigning Weightage and Difficulty Level of Question using Data Mining
International Journal of Computer Applications (IJCA)
Generation of question papers is a task that requires high expertise and flair. The design and formation of the test depends on the questions. The test should generate the quiz such that all different levels of questions are inserted so as to make the question paper more competitive. This research work aims at assigning weightage to a questions in the quiz based on the difficulty level. Assigning the weightage to question is a tedious task. This paper aims to discuss various parameters involved…
Generation of question papers is a task that requires high expertise and flair. The design and formation of the test depends on the questions. The test should generate the quiz such that all different levels of questions are inserted so as to make the question paper more competitive. This research work aims at assigning weightage to a questions in the quiz based on the difficulty level. Assigning the weightage to question is a tedious task. This paper aims to discuss various parameters involved in assigning weightage to the questions in the test paper and decide the difficulty level of the question.
Other authorsSee publication
Courses
Adaptive Web
CSE 591
Advanced Data Structures and Algorithms
SER 501
Analysis of Algortihms
CSC 402
Artificial Intelligence
UCEC703
Cloud Computing Laboratory
UCEL801
Computer Networks
UCEC504
Computer Organization and Architecture
CSC403
Computer Simulation and Modeling
UCEE702
Cryptography and System Security
UCEC702
Data Structures
CSC303
Data Visualization
CSE 578
Data Warehouse and Mining
UCEC801
Database Management System
CSC404
Distributed Database
UCEC603
Human Machine Interaction
UCEC802
Languages and Programming Paradigms
SER 502
Machine Learning
UCEE804
Microprocessor
UCEC501
Mobile Communication and Computing
UCEC604
Network Programming Laboratory
UCEL601
Object Oriented Programming and Methodology
CSC302
Operating System
UCEC502
Parallel and Distributed Systems
UCEC803
Software Design
SER 564
Software Engineering
UCEC602
Software Enterprise : Inception and Ellaboration
SER 515
Software Factory
SER 517
Software Project Managemment
UCEE603
Software Verification Validation and Testing
CSE 545
Structured and Object Oriented Analysis and Design
UCEC503
System Programming and Compiler Construction
UCEC601
Theoretical Computer Science
CSC405
Web Technologies Laboratory
UCEL501
Projects
Travel-Time-Aware Calendar - TravLendar
- Present
See projectA Travel-Time-Aware Calendar. Travlendar will provide flexible and fully-featured calendar support that considers the travel time between meetings. Travlendar should support a multitude of travel means, including walking, biking, public transportation, and driving.
• Developed a Calendar interface using Angular 5 on which user can schedule a meeting, the application addresses the conflicting meetings.
• The user can select the mode of transport which he selects to go to the meetings…A Travel-Time-Aware Calendar. Travlendar will provide flexible and fully-featured calendar support that considers the travel time between meetings. Travlendar should support a multitude of travel means, including walking, biking, public transportation, and driving.
• Developed a Calendar interface using Angular 5 on which user can schedule a meeting, the application addresses the conflicting meetings.
• The user can select the mode of transport which he selects to go to the meetings, implemented using Google's Distance Matrix API.
• Implemented the notification using SNS form AWS Console which the user gets, before every meeting.
Technologies: Angular 5, React Native, AWS Lambda, MongoDB.Social Robot
• Designing and building a robot and embedding human-alike gestures into it, in order to understand design principles, activities and deliverable during the life cycle practiced in an industry today.
• Technologies: CURA, Python.
• Hardware: Rasberry PiQuizMe
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See project• Developed an application that uses Adaptive feedback for quiz generation for the user.
• Implemented Naive Bayes Algorithm to calculate user proficiency level for a topic after each quiz.
• Implemented Open Social User Modeling, User Profiling.
Technology Stack: Angular 5, Spring MVC, SQL, AWS S3, D3 JS.
Video: https://youtu.be/MzVUzT7-bIEStack Overflow Behavioral Logs
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See project• Developed a Full Stack application to record various behavioral inputs by the user on www.stackoverflow.com using chrome extension, and display the logs on the profile page of the applicant where the user can log in and create its own account.
Technologies: Mongo DB, Express JS, Passport JS, Angular JS, Node JS, Chrome Extension.Before the Floods
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See project• Developed a web application using Angular 2 and D3 JS which aims at making people aware of climate change.
• Built various visualizations using D3 JS and Tableau. Obtained datasets from Openweathermap, World Bank, and WHO.
Technologies: Angular JS, D3 JS, AWS.Compiler and Virtual Machine for a Programming Language
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See project• Designed, implemented, and demonstrated our own language named ("APLA").
• Implemented a lexical analyzer, parser, intermediate code generator, and runtime environment (intermediate code executor) for our programming language using ANTLR plugin.
Youtube: https://www.youtube.com/watch?v=QiHVstEhyKICurrency Tracker
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• Built an android application which retrieves Currency Prices, displays real time data of the values of the Currency in the form of graph .
• App fetches and stores the data in the Database using RESTful API and JSON framework.Cluster Computing - Big Data
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• Setup Hadoop multi-cluster (3 nodes) environment and Apache Spark on Ubuntu and Mac machines.
• Implemented MapReduce jobs in Java to process 2 GB data to get a list of 50 most popular hotspot coordinates of New York cabs.
• Involved setting up nodes that can communicate without any restrictions, working on the concepts of distributed computing based on Apache Hadoop and Spark.
Implmentation: Hadoop, Apache Spark, MapReduce.E-Commerce Website of Electronics
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• Developed a web Shopping application which retrieves data from various electronics stores and enlists them per customer needs by availability, cost, reviews, distance, traffic on that route. Methodology – Agile Software Development(SCRUM), Pair Programming.
• Scraped data from Amazon, Samsung, Apple, using selenium web driver, used Fuseki Server and ran the SPARQL on RDF data.
Technologies: Angular JS, JavaScript, SPARQLCareer Guidance Using Predictive Analysis
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See project• Developed Quiz application using Machine Learning techniques to predict the outcomes of the quiz of the user based on the answers.
• Published a research paper based on the algorithm for adaptive prediction, https://tinyurl.com/yc7l2qnk
Technologies: HTML, CSS, JavaScript, JQuery, PHP, MySQL.Chatserver
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Worked with Socket programming and swirl in JAVA.
Developed features like exchange of messages between two clients, exchange of text files and also a facility of group chat.
Languages
English
Full professional proficiency
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