Sharaan Thayanithi

Sharaan Thayanithi

Subject Matter Expert

Followers of Sharaan Thayanithi708 followers
location of Sharaan ThayanithiMumbai, Maharashtra, India

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  • Timeline

  • About me

    Production Engineer @ Morgan Stanley | Data Enthusiast

  • Education

    • I.D.U.B.S High School & Junior College

      2016 - 2018
      HSE, 12th Science 84%

      Undertook the integrated course in order to prepare for the engineering competitive exams, ie: JEE & MHT-CET

    • Vissanji Academy

      2008 - 2016
      High School -Xth, Science ICSE 87%

      Opted for Science as a major and Computer Science as the Third Group subject during grade IX

    • MIT World Peace University

      2018 - 2022
      Bachelor of Technology - BTech Electronics and Telecommunications Engineering 9.3/10

      Specialization in Artificial IntelligenceRelated courseworks:- -> Artificial Neural Networks-> Machine Learning-> Data Science-> Natural Language Processing-> Maths for Artificial Intelligence-> Pattern Recognition-> Digital Image Processing-> Introduction to Cloud Computing

    • MIT World Peace University

      -
      Bachelor of Arts - BA
  • Experience

    • Chegg Inc.

      Feb 2021 - Oct 2022
      Subject Matter Expert

      Worked as a SME for Computer Science Subject at Chegg India Pvt. Ltd as a freelancer to make my pastime, a tad bit productive.Worked and solved over 300+ students' queries/problems hitherto - questions related to CS(Java, C++, DSA), Data Science, Machine learning, DBMS, Computer Networking, and other technological domains

    • Canspirit Artificial Intelligence

      Mar 2021 - Jun 2021
      Machine Learning Intern

      Hands-on experience regarding how a developing idea could be implemented into generating a functional and effective ML model that would be capable of solving real-world problems and on further upscaling, could be well utilized by the organizations for their remunerative benefits. Worked on a couple of ML projects to fathom the Data Science project lifecycle and the rudimentary concepts related to it.Projects worked on developing:-• Credit Defaulter Risk Prediction -> An end-to-end Classification ML problem model.-> Ran several classification algorithms such as K-means, Naive Bayes, and XGBoost, but finally utilized K-means clustering algorithm to train the model, since it gave the highest accuracy and a decent ROC-AUC score compared to other algorithms.• University Admission Prediction -> An end-to-end Regression/Prediction ML problem model.-> Utilized the Linear Regression algorithm to train the model, which was then hyperparameter-tuned in order for its regularization, so as to further increase its accuracy.Used HTML & CSS for both the models with respect to developing the UI of the model and Flask framework to connect it with the internet(web) and deployed them onto the HEROKU platform. Show less

    • Sui-Cura Artisans®

      Nov 2021 - Jan 2022
      Business Intern

      - Managed customer database, reports and track of order logs.- Performed benchmark analysis to apprehend market fit and the right costing of products.- Built vizualizations to provide useful business insights, in order to leverage sales.

    • NICE

      Jul 2022 - Jul 2023
      Associate Professional Services Engineer
    • Morgan Stanley

      Sept 2023 - now
      Reliability Production Engineer
  • Licenses & Certifications

  • Volunteer Experience

    • Public Speaker

      Issued by Toastmasters International on Sept 2021
      Toastmasters InternationalAssociated with Sharaan Thayanithi