Keval Pansuriya

Keval Pansuriya has a diverse work experience in the field of software engineering and quality assurance. They started their career as a Quality Assurance (QA) Engineer at SAN Data Systems in 2023. Prior to that, they worked at Zymr, Inc. as a Senior Software Engineer from September 2021 to May 2023. In this role, they were responsible for designing and developing performance testing scripts using JMeter, conducting load and performance tests, and analyzing performance metrics using tools like Graphana, Elasticsearch, Jenkins, and Python.

Before joining Zymr, Inc., Keval Pansuriya worked at VOLANSYS Technologies from June 2017 to August 2021. During this time, they held the position of a Python Test Automation Engineer and were involved in designing and developing test automation frameworks and test suites for end-to-end IoT ecosystem testing. The framework included automation for mobile applications using Robot Framework Appium Library, cloud interface using MQTT and REST API, and automation for embedded devices like HVAC and water heaters using Appium, Python request module, and Clear Blade Python SDK package. Additionally, they also acted as a Quality Assurance intern at VOLANSYS Technologies from January 2017 to June 2017.

Overall, Keval Pansuriya has gained expertise in QA engineering, software development, and test automation, with a focus on performance testing and IoT ecosystem testing.

Keval Pansuriya completed a Bachelor of Engineering in Electrical, Electronics and Communications Engineering from B H Gardi College of Engineering & Technology between 2013 and 2017. In addition to their formal education, Keval Pansuriya has obtained several certifications, including Advanced JMeter and JMeter: Performance and Load Testing from LinkedIn in October 2021, CutShort Certified Python - Basic from CutShort in April 2021, Introduction to AWS for Non-Engineers: 1 Cloud Concepts from LinkedIn in October 2020, Python (Intermediate), Problem Solving (Basic), and Python (Basic) from HackerRank in September and July 2020 respectively, Natural Language Processing in TensorFlow, Sequences, Time Series and Prediction, TensorFlow in Practice Specialization, Convolutional Neural Networks in TensorFlow, and Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from Coursera in August and July 2019 respectively, PYTHON FOR DATA SCIENCE: INTERMEDIATE from Dataquest.io in May 2019, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization and Neural Networks and Deep Learning from Coursera in March 2019, Machine Learning with Python and Python 101 for Data Science from IBM Cognitive Class in November 2018 and February 2018 respectively, Python 3 Tutorial course from SoloLearn in January 2018, Intro to python for Data Science Course from DataCamp in December 2017, and Selenium Python 101 Certification from LambdaTest in February 2023.