Gokulakrishnan B.

Data Analyst + Backend developer at Predigle
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Contact Information
us****@****om
(386) 825-5501
Location
Chennai, Tamil Nadu, India, IN
Languages
  • English Full professional proficiency
  • Tamil Native or bilingual proficiency
  • Hindi Native or bilingual proficiency

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Credentials

  • Advanced Django: Mastering Django and Django Rest Framework
    Coursera
    Feb, 2023
    - Nov, 2024
  • SQL and PostgreSQL: The Complete Developer's Guide
    Udemy
    Jan, 2023
    - Nov, 2024
  • Python Django - Complete Course
    Udemy
    Dec, 2022
    - Nov, 2024
  • Java Programming I
    University of Helsinki
    Jan, 2022
    - Nov, 2024
  • Java Programming II
    University of Helsinki
    Jan, 2022
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera
    Feb, 2019
    - Nov, 2024
  • Deep Learning Specialization
    Coursera
    Feb, 2019
    - Nov, 2024
  • Sequence Models
    Coursera
    Feb, 2019
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Jan, 2019
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Jan, 2019
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Jan, 2019
    - Nov, 2024
  • Machine Learning Foundations: A Case Study Approach
    Coursera
    Apr, 2017
    - Nov, 2024
  • Introduction to Modern Application Development
    NPTEL
    Oct, 2016
    - Nov, 2024
  • Programming, Data Structures and Algorithms in Python
    NPTEL
    Sep, 2016
    - Nov, 2024

Experience

    • United States
    • Technology, Information and Media
    • 1 - 100 Employee
    • Data Analyst + Backend developer
      • Jun 2023 - Present

    • United States
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Software Engineer
      • Apr 2022 - Jan 2023

      ● Developed and deployed microservices using Spring Boot and Spring Cloud, ensuring high performance and low latency for a high volume of requests. ● Built and maintained REST APIs that served millions of requests per day and were scalable and fault-tolerant, resulting in 99.9% uptime. ● Implemented and optimized database interactions using PostgreSQL, Java, Spring Boot, and Hibernate, resulting in a 50% increase in data retrieval speed. ● Processed large data streams using Elasticsearch, MongoDB, and Kafka to improve user experience, resulting in a 30% increase in user engagement. ● Collaborated with multiple teams to provide technical solutions and contribute to design and planning. Show less

    • United States
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Software Engineer
      • Mar 2021 - Apr 2022

      ● Enhanced 3 Spring Boot applications by adding 10 new features, resulting in increased satisfaction. ● Resolved 15 critical security and compatibility vulnerabilities to improve application security, resulting in a 20% increase in the application's security score. ● Enhanced 3 Spring Boot applications by adding 10 new features, resulting in increased satisfaction. ● Resolved 15 critical security and compatibility vulnerabilities to improve application security, resulting in a 20% increase in the application's security score.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Software Engineer
      • Aug 2020 - Mar 2021

      ● Optimized a data mining application using Python, Pandas, PDFscraper, and NLTK to extract information from PDF files and reduce manual labor by 70%. ● Improved user experience using React and configured NGINX server to improve website performance by 15% and decrease hosting costs by 10%. ● Utilized PostgreSQL to communicate with application servers and Docker for containerizing the application, leading to a 15% query performance improvement and a 30% reduction in deployment time. ● Optimized a data mining application using Python, Pandas, PDFscraper, and NLTK to extract information from PDF files and reduce manual labor by 70%. ● Improved user experience using React and configured NGINX server to improve website performance by 15% and decrease hosting costs by 10%. ● Utilized PostgreSQL to communicate with application servers and Docker for containerizing the application, leading to a 15% query performance improvement and a 30% reduction in deployment time.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Data Engineering Intern
      • Apr 2019 - Aug 2019

      • Developed a web scraping application using Scrapy, Python and Selenium to extract data from ASU server using API gateway, which increased the speed of data extraction by 80% and improved performance by 75%. • Experimented with Stance Analysis, Topic Modeling and Classification algorithms in RANDLex to find threshold concepts in data to help devise a more effective teaching method for Dr. Barry Maid, ASU • Developed a web scraping application using Scrapy, Python and Selenium to extract data from ASU server using API gateway, which increased the speed of data extraction by 80% and improved performance by 75%. • Experimented with Stance Analysis, Topic Modeling and Classification algorithms in RANDLex to find threshold concepts in data to help devise a more effective teaching method for Dr. Barry Maid, ASU

Education

  • Arizona State University
    Master's degree, Computer Science
    2018 - 2020
  • SSN College of Engineering
    Bachelor of Engineering - BE, Computer Science
    2014 - 2018
  • Vidya Mandir Senior Secondary School
    High School Diploma, 93%
    2010 - 2014

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