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Swarnav Kumar

Swarnav Kumar

Summer Intern

Followers of Swarnav Kumar2000 followers
location of Swarnav KumarDhanbad, Jharkhand, India

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  • Timeline

  • About me

    Data Science & Business Analytics Intern at The Sparks Foundation || Contributor @ GSSoC’24 || Amazon ML Summer School '23 || Final year Undergrad at KIIT University

  • Education

    • De Nobili School

      2008 - 2021
      ICSE Science Stream

    • KIIT - Kalinga Institute of Industrial Technology

      2021 - 2025
      Bachelor of Technology - BTech , Computer Science and Engineering

  • Experience

    • Indian Institute of Technology (Indian School of Mines), Dhanbad

      Jun 2023 - Jul 2023
      Summer Intern

    • CodeClause

      Jul 2023 - Aug 2023
      Web Development Intern

      Build a weather forecast application using an API.

    • Bharat Intern

      Aug 2023 - Sept 2023
      Web Development Intern

    • Salesforce

      Aug 2023 - Oct 2023
      Salesforce Developer Virtual Internship

      During the 8 Weeks period of Virtual Internship (August-October 2023), I have completed the following Salesforce Trailhead modules :-• Salesforce Fundamentals• Organizational Setup• Relationship & Process Automation• Types Of Flows & Security• Apex, Testing & Debugging• VS Code Setup & CLI Setup• Lightning Web Components (LWC) & API• Developer Super Set

    • Oasis Infobyte

      Sept 2023 - Oct 2023
      Web Development and Designing Intern

    • Amazon

      Sept 2023 - Oct 2023
      Amazon ML Summer School 2023

    • CodSoft

      Sept 2023 - Oct 2023
      Machine Learning Intern

      Machine Learning Projects Completed during my Internship.Movie Genre Classification :-Created a machine learning model that predicts the genre of a movie based on its plot summary or textual information. Techniques such as TF-IDF or word embeddings, along with classifiers like Naive Bayes, Logistic Regression, or Support Vector Machines, are employed.Credit Card Fraud Detection :-Built a model for the detection of fraudulent credit card transactions. Leveraging a dataset comprising credit card transaction information, various algorithms like Logistic Regression, Decision Trees, or Random Forests have been experimented with to classify transactions as fraudulent or legitimate.Customer Churn Prediction :-Developed a model to predict customer churn for a subscription-based service or business. Utilizing historical customer data, including usage behavior and demographics, this task explores algorithms such as Logistic Regression, Random Forests, or Gradient Boosting for churn prediction. Show less

    • The Sparks Foundation

      Nov 2023 - Jan 2024
      Data Science & Business Analytics Intern

    • CodeAlpha

      Nov 2023 - Dec 2023
      App Development Intern

    • NeuroNexus Innovations

      Nov 2023 - Dec 2023
      Machine Learning Intern

    • Psyliq

      Dec 2023 - Jan 2024
      Data Analyst Intern

    • Prodigy InfoTech

      Jan 2024 - Feb 2024
      Data Science Intern

    • Cognifyz Technologies

      Jan 2024 - Feb 2024
      Machine Learning Intern

    • Dabotics India

      Feb 2024 - Mar 2024
      Python Developer Intern

  • Licenses & Certifications