Param Mehta

San Francisco Bay Area Contact Info
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About

Having 5+ years of experience in successfully building and leading front-end engineering…

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Experience & Education

  • Intuit

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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 authors
    • Kamal Vora
    • Sumeet Jain
    See 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

    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…

    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.

    See project
  • 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 Pi

  • QuizMe

    -

    • 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-bIE

    See project
  • Stack Overflow Behavioral Logs

    -

    • 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.

    See project
  • Before the Floods

    -

    • 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.

    See project
  • Compiler and Virtual Machine for a Programming Language

    -

    • 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=QiHVstEhyKI

    See project
  • Currency Tracker

    -

    • 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

    -

    • 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

    -

    • 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, SPARQL

  • Career Guidance Using Predictive Analysis

    -

    • 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.

    See project
  • Chatserver

    -

    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

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