Dhruv Rakesh

Dhruv Rakesh

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location of Dhruv RakeshPittsburgh, Pennsylvania, United States

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  • Timeline

  • About me

    Consultant at CGI | MISM-BIDA Graduate, Carnegie Mellon University | B.Tech in Computer & Communication, Manipal Institute of Technology '23 | AI & Data Analytics Enthusiast

  • Education

    • ALLEN CAREER INSTITUTE

      2017 - 2019
      Integrated
    • Manipal Institute of Technology

      2019 - 2023
      Bachelor of Technology - BTech Computer and Communication Engineering
    • Carnegie Mellon University

      2023 - 2024
      Master's degree Management Information Systems - Business Intelligence and Data Analytics
    • National Public School

      2009 - 2017
  • Experience

    • MIT Football League

      Aug 2019 - Apr 2022
      • Associate Board member

        Jul 2021 - Apr 2022
      • Senior Associate - Player Relations and Officiating

        Aug 2020 - Jul 2021
      • Junior Associate

        Aug 2019 - Aug 2020
    • MotoManipal

      Sept 2020 - Apr 2022
      • Aerodynamics Head

        May 2021 - Apr 2022
      • Aerodynamics Member

        Sept 2020 - May 2021
    • Affine

      Jul 2021 - Nov 2021
      Project Intern

      Problem Statement:• To analyze credit bureau data of consumers and predict if a customer is a suitable candidate to lend a small ticket loan.Result:Achieved an accuracy of 81.61% in predicting if a user defaulted the loanProcesses Involved:• To clean the data, to deal with various null, outlier and incomplete data. • Study the distributions to appropriately impute required values and produce a complete dataset. Do an exploratory data analysis including univariate, bivariate as well as multivariate analysis.• Analyze the data by choosing the appropriate statistical model.• Interpreting the results and providing a productive conclusion Show less

    • Rocketium

      Jun 2022 - Jul 2022
      Analytics Intern

      • Built key reports for executive team around KPIs such as, click through rate, cost per click, etc in order to gauge success of ad campaign.• Analyzed ad campaigns and broke down factors which made a campaign successful. This included Natural Language Processing, Image Analysis as well as correlation analysis.• Designed dashboards in order to track product adoption among various clients and list down companies to upsell based on usage.

    • Quantiphi

      Jan 2023 - Jul 2023
      Machine Learning Engineer

      • Spearheaded a deep learning project to craft an advanced disease prediction system for plants, to enhance crop management anddisease prevention strategies. The model demonstrated an accuracy of 95.78%• Acquired proficiency in applying deep learning algorithms to image enhancement, with a specific emphasis on mastering deblurringtechniques.

    • CGI

      Jun 2024 - Aug 2024
      Software Engineer Intern
    • CGI

      Jan 2025 - now
      Consultant
  • Licenses & Certifications