Bharat Saini has a diverse range of work experience. Bharat currently works at BCS Technology International Pty Ltd, starting in August 2021 as an Associate Software Developer and later transitioning to the role of Associate Software Developer - DevOps Engineer in February 2022.
In the past, Bharat has been involved with various organizations and programs. Bharat participated in the GoogleCloudReady Facilitator Program at Google Developers Group from April 2021 to June 2021. Bharat also completed the 30 Days of Flutter program at Google Developers from February 2021 to March 2021.
Bharat gained expertise in Python, Flask, and Data Science through their role as a Specialist in Python (with Flask Towards Data Science) at IIEC Rise from August 2020 to January 2021. Bharat also acquired skills in RedHat Linux, Python 3, and Docker during their time at IIEC Rise from February 2020 to May 2020.
During their internship at LinuxWorld Informatics Pvt Ltd from April 2020 to August 2020, Bharat worked on projects related to Hybrid Multi-Cloud, Amazon EKS: Kubernetes Over Cloud, and Applying Machine Learning on DevOps.
Bharat also completed the 30 days of Kotlin program at Google Developers in May 2020.
In 2020, Bharat participated in the IIEC Workshop on Build AI Enabled Machine to help fight against any pandemic or any disaster at IIEC DOT in March 2020.
Prior to their experiences in 2020, Bharat completed Python internship provided by C-DAC at CDAC ATC Jaipur from May 2019 to July 2019, where they gained knowledge in Python programming and project development.
Bharat started their career as a Trainee at Internshala in January 2019, where they completed a 6-week training program on Programming with Python.
Overall, Bharat Saini has a strong technical background and has worked on various projects, gaining experience in software development, DevOps, Python, Flask, Data Science, and cloud technologies.
Bharat Saini completed their Bachelor of Technology (BTech) degree in Computer Science from Arya College of Engineering & Research Centre in Jaipur from 2016 to 2020. Prior to their undergraduate studies, they attended Aravali Public School in Bandikui from 2014 to 2016, where they pursued their 10+2 education with a focus on Mathematics and Computer Science.
Additionally, Bharat Saini has obtained several certifications to enhance their skills and knowledge in various areas. In January 2021, they completed the Google Cloud Community Days India program, conducted by Google Developers Group. In October 2020, they obtained certification in "A Real-Time Face Mask Detection using Convolutional Neural Networks" from LinuxWorld Informatics Pvt Ltd. In August 2020, they completed the "Amazon EKS: Kubernetes Over Cloud" certification from the same institution. Prior to that, in July 2020, they completed the "MLOps Training - Applying Machine Learning on DevOps" certification from LinuxWorld Informatics Pvt Ltd.
Bharat Saini has also acquired certifications like "30 Days of Kotlin" from Google Developers in June 2020, "EXPERTISE IN DOCKER" from IIEC Rise in May 2020, and "Build AI Enabled Machine to help fight against any pandemic or any disaster" from IIEC DOT in April 2020.
Other certifications obtained by Bharat Saini include "Machine Learning with Python" from IBM, "Sign Language Converter - Manuscript" from the International Research Journal of Engineering and Technology (IRJET), "Applied Machine Learning in Python" from the University of Michigan, "Python Beginner: Strings and Functions" and "SQL Database Fundamentals" from Microsoft Virtual Academy, "Databases with Python" from the University of Michigan, "Programming with Python Training (Intershala)" from Internshala, "Python to Access Web Data" from the University of Michigan, "Networking Fundamentals" from Microsoft Virtual Academy, "Programming for Everybody (Getting Started with Python)" and "Python Data Structures" from the University of Michigan, and "Linux Training" from the National Mission on Education Through ICT.
These certifications showcase Bharat Saini's dedication to continuous learning and professional development in the field of computer science.
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