Sonu Gupta

Sonu Gupta

Chicago, Illinois, United States
2K followers 500+ connections

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About

+ Data Scientist with 2+ years of professional experience leveraging statistical and…

Activity

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Experience

  • Decision Spot Graphic

    Decision Spot

    Chicago, Illinois, United States

  • -

    State College, Pennsylvania, United States

  • -

    Noida Area, India

  • -

    New Delhi Area, India

  • -

Education

Licenses & Certifications

Publications

Courses

  • Advance Algorithms

    13M11CI211

  • Applied Statistics

    STAT-500

  • Computer Supported Cooperative Work (CSCW)

    IST-525

  • Database and Social Media Security

    15M2NCI252

  • Designing Human-Centered Systems

    CSE 501

  • Digital and Cyber Forensic

    14M2NCI152

  • Elements of Machine Learning

    IST-597

  • Evolutionary Computing and Data Mining

    16M2NCI132

  • Fundamentals of Computer Security

    14M22CI122

  • Information Retrieval and Organization

    IST-441

  • Machine Learning Techniques for Big Data

    16M2NCI132

  • Mathematical Foundations of Information Security

    14M22CI121

  • Network and Mobile Forensics

    16M2NCI131

  • Secure Software Engineering

    14M22CI123

Projects

  • Prevention and Anonymization of Dox Content on Twitter

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    Built a binary classifier utilizing sentence embedding generated through a pre-trained language model to detect sensitive information on Twitter, resulting in the prevention of the dox content through a nudging mechanism.

    See project

  • Using Deep Learning techniques to enhance Road Safety

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    Other creators

  • Reche

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    An android application - It provides a common platform for researchers to request users to participate in the user study and other kinds of data collection. It was a group project. I did it as a part of the Designing Human-Centered Systems (DHCS) course offered by Prof. PK at IIITD.

  • Detecting Collusive Retweeting Entities on Twitter

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    Online Social Networks are used not just to connect with people but also to acquire social currency. Users explore many opportunities to earn more social currency. For instance, retweet has become one such entity to gain influence on Twitter. There are many crowd-sourcing platforms which are involved in hiring fake retweeters. In this project, we aim to detect such fake retweeters that collude to retweet in the Twitter network.

  • Improving Credibility of User-Generated Content on Facebook

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    Online Social Networks (OSNs) have become a popular platform to share information with each other. Fake news often spread rapidly in OSNs especially during news-making events, e.g. Earthquake in Chile (2010) and Hurricane Sandy in the USA (2012). A potential solution is to use machine learning techniques to assess the credibility of a post automatically, i.e. whether a person would consider the post believable or trustworthy.

  • Detecting Malicious URLs in Facebook Events

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    With 2.2 billion monthly active users, Facebook is the most popular Online Social Network. Given its huge popularity and diverse features such as pages, events, groups etc., it is potentially the most attractive platform for cybercriminals to launch various attacks. In this project, we study the role of Facebook Events in disseminating malicious URLs in the network. Here, we focus our analysis on Facebook Events which are created by Facebook Pages.

  • Sentiment Analysis of Election Related Tweets

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  • British Airways Review Analysis

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    • Scraped and analyzed customer review data of British Airways from Skytrax using BeautifulSoup library.
    • Built a predictive model to understand factors that influence buying behavior of customers.

    See project

Languages

  • Hindi

    Native or bilingual proficiency

  • English

    Native or bilingual proficiency

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