Sai Parimala

AWS trainee at Pi Square Technologies
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Contact Information
us****@****om
(386) 825-5501
Location
Bengaluru, Karnataka, India, IN
Languages
  • English Professional working proficiency
  • Japanese (JLPT N3 certified) Limited working proficiency

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Credentials

  • AWS Academy Graduate - AWS Academy Cloud Architecting
    Amazon Web Services (AWS)
    May, 2023
    - Sep, 2024
  • Japanese language proficiency N3
    The Japan Foundation
    Dec, 2022
    - Sep, 2024
  • AWS Academy Graduate - AWS Academy Cloud Foundations
    Amazon Web Services (AWS)
    Sep, 2022
    - Sep, 2024
  • Web development
    Corizo
    Jul, 2022
    - Sep, 2024
  • Full stack web development
    Udemy: Online Courses
    Jun, 2022
    - Sep, 2024
  • Python 3
    Udemy: Online Courses
    Jun, 2022
    - Sep, 2024
  • Game development using unity
    Udemy: Online Courses
    Mar, 2022
    - Sep, 2024
  • AI for eveyone
    Coursera
    Jul, 2021
    - Sep, 2024
  • AWS Certified Solutions Architect – Associate
    Amazon Web Services (AWS)
    May, 2023
    - Sep, 2024

Experience

  • Pi Square Technologies
    • United States
    • Motor Vehicle Manufacturing
    • 1 - 100 Employee
    • AWS trainee
      • Dec 2022 - Present
  • Corizo
    • India
    • E-Learning Providers
    • 300 - 400 Employee
    • Web Developer
      • Jul 2022 - Aug 2022

      During this internship I learned how to develop a fully fledged website with React, Node, Express, MongoDB and Mongoose. During this internship I learned how to develop a fully fledged website with React, Node, Express, MongoDB and Mongoose.

  • Decibels Lab
    • India
    • E-Learning Providers
    • 1 - 100 Employee
    • Machine Learning Intern
      • Jul 2021 - Aug 2021

      During this internship I was able to accomplish the tasks below: Salary predictions using Linear Regression, job prediction using Logistic Regression, Movie Decision Making using Decision Tree, Number Recognition using random Forest, iris Flower Species Classification using K-Nearest Neighbour (KNN) & Flower Feature Clustering using K means. During this internship I was able to accomplish the tasks below: Salary predictions using Linear Regression, job prediction using Logistic Regression, Movie Decision Making using Decision Tree, Number Recognition using random Forest, iris Flower Species Classification using K-Nearest Neighbour (KNN) & Flower Feature Clustering using K means.

Education

  • JYOTHY INSTITUTE OF TECHNOLOGY, BANGALORE
    Bachelor of Engineering - BE, Computer science
    2019 - 2023

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