Jersey City, New Jersey, United States
2K followers 500+ connections

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About

Every waking moment narrates a story…. A story that starts with lifecycle of data and…

Activity

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Experience & Education

  • Tata Consultancy Services

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Licenses & Certifications

Publications

  • BOX OFFICE MOVIE PREDICTION SYSTEM

    International Journal of Research in Engineering, Science and Management

    •Developed a User-based Collaborative filtering recommendation (CFR) system that facilitates users to efficiently search movies based on their own interest.
    •Executed Real-time Sentiment Analysis of Movies by dynamically extracting and pre-processing tweets from Twitter.
    •Quantified and display results using visualizations techniques such as word cloud and histograms.

    Other authors
    See publication

Courses

  • Advance database management systems

    SEITC305

  • Business Communication and Ethics

    TEITC505

  • Cloud computing

    -

  • Data Analysis and Machine Learning

    MIS -637-A

  • Data Mangement

    MIS -630-A

  • Data Mining and Business Intelligence

    TEITC604

  • Data Structures and Algorithm Analysis

    SEITC302

  • Data Warehousing and Business Intelligence

    MIS -636-A

  • Database design

    -

  • Financial Decision Making

    FIN -615-WS

  • IT Strategy

    MIS -760-WS

  • Integrating IS technology

    MIS -730-B

  • MATHEMATICS ( STATISTICS AND CALCULUS)

    SEITC301

  • Multivariate data analysis

    BIA -652-C

  • Object Oriented Programming Methodology

    SEITC303

  • Project Management Fundamentals

    MGT -609-D

  • Software Engineering

    TEITC601

Projects

  • University Placement Analysis and Prediction

    -

    • Utilized university’s placement dataset to identify patterns by analyzing data of students who were placed
    • Engineered statistical methods to implement exploratory data analysis to find important factors that affect placement status of student
    • Implemented Logistic Regression, Random Forest and Decision tree algorithms to predict whether student will be placed and determined which algorithm gives maximum accuracy

  • Restaurant Prediction System using R

    -

    •Used R programming to analyze and clean restaurant data from Zomato.com.
    •Developed interactive flexdashboard in R to visualized various data points like restaurant orders, location, ratings, etc.
    •Performed sentiment analysis and developed a word cloud to understand customer reviews and liked dishes.
    •Performed web scraping to extract rates and available restaurant in the Bangalore to maximize profit by renting resto at best locating for a cheaper cost
    •Implimented machine…

    •Used R programming to analyze and clean restaurant data from Zomato.com.
    •Developed interactive flexdashboard in R to visualized various data points like restaurant orders, location, ratings, etc.
    •Performed sentiment analysis and developed a word cloud to understand customer reviews and liked dishes.
    •Performed web scraping to extract rates and available restaurant in the Bangalore to maximize profit by renting resto at best locating for a cheaper cost
    •Implimented machine learning classifier like Decision Tree, Random Forest, XG Boos, SVM to predict the best location to open a restaurant and achieve the best accuracy of 92% on SVM

  • Twitter Sentimental Data Analysis using Machine Learning

    -

    • Collected Twitter Data on upcoming movies using Twitter API with Tweepy, MySQL, Python
    • Pre-processed 500 tweets on every click by applying 7 text preprocessing techniques
    • Utilized NLP technique, to accomplish real-time Sentiment Analysis on extracted tweets using TextBlob, NLTK (tokenize), Sklearn
    • Created interactive visualization using Regular Expression, TextBlob, NLTK and deployed Real-time Twitter Analytical Web App on
    Heroku applying Dash and Ploty

  • Complaint Box

    -

    A Android Application build to lodge complaints for Police department online. The Application helped people to lodge and track complaints. Also a database was maintained to keep compliant related information.
    Technology used: Android Studio,html , css, MySQL

Honors & Awards

  • Subject topper

    Vidyalankar Polytechnic

    First topper in subject of JAVA and Relational Database Management Systems among 180 students in University

  • Academic Topper

    Vidyalankar Polytechnic

    Honored as Second Academic Topper among 180 students in the University.

  • Project Appreciation

    Vidyalankar Polytechnic

    Second prize for project "Complaint Box" at "VTechnovation" (Project Competition) among 35 schools and about 60 participants.
    Link to certificate: https://drive.google.com/file/d/10FpsbDGhFDRh4cg0_cNKtEzsbkQBPUPz/view?usp=sharing

Languages

  • English

    Full professional proficiency

  • Hindi

    Native or bilingual proficiency

Organizations

  • Information Technology Student Association

    Vice President

    -

    Responsible for the smooth functioning of the events with respect to technical support and planning events that kindle the scientific temper of students. Developed executive plans and supervised team of 50 students. Collaborated with 5 teams for technical festival, involving 8 colleges and managed the whole event for 2 days. Made plans to effectively raise funds. for technical event through sponsorship.

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