Gokulakrishnan B.
Data Analyst + Backend developer at Predigle- Claim this Profile
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English Full professional proficiency
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Tamil Native or bilingual proficiency
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Hindi Native or bilingual proficiency
Topline Score
Bio
Credentials
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Advanced Django: Mastering Django and Django Rest Framework
CourseraFeb, 2023- Nov, 2024 -
SQL and PostgreSQL: The Complete Developer's Guide
UdemyJan, 2023- Nov, 2024 -
Python Django - Complete Course
UdemyDec, 2022- Nov, 2024 -
Java Programming I
University of HelsinkiJan, 2022- Nov, 2024 -
Java Programming II
University of HelsinkiJan, 2022- Nov, 2024 -
Convolutional Neural Networks
CourseraFeb, 2019- Nov, 2024 -
Deep Learning Specialization
CourseraFeb, 2019- Nov, 2024 -
Sequence Models
CourseraFeb, 2019- Nov, 2024 -
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraJan, 2019- Nov, 2024 -
Neural Networks and Deep Learning
CourseraJan, 2019- Nov, 2024 -
Structuring Machine Learning Projects
CourseraJan, 2019- Nov, 2024 -
Machine Learning Foundations: A Case Study Approach
CourseraApr, 2017- Nov, 2024 -
Introduction to Modern Application Development
NPTELOct, 2016- Nov, 2024 -
Programming, Data Structures and Algorithms in Python
NPTELSep, 2016- Nov, 2024
Experience
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Predigle
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United States
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Technology, Information and Media
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1 - 100 Employee
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Data Analyst + Backend developer
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Jun 2023 - Present
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IT PREMIA
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United States
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IT Services and IT Consulting
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1 - 100 Employee
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Software Engineer
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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
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Proximate Technologies Inc
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United States
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IT Services and IT Consulting
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100 - 200 Employee
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Software Engineer
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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.
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Arizona State University
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United States
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Higher Education
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700 & Above Employee
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Software Engineer
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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.
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Arizona State University
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United States
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Higher Education
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700 & Above Employee
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Data Engineering Intern
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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
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Education
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Arizona State University
Master's degree, Computer Science -
SSN College of Engineering
Bachelor of Engineering - BE, Computer Science -
Vidya Mandir Senior Secondary School
High School Diploma, 93%