Akansha Singh

Technical Recruiter at KBS Solutions LLC

Akansha Singh has a diverse work experience spanning different industries. Akansha worked as an SEO Trainee at 99 Digital Services India Pvt. Ltd. from September 2022 to May 2023. In this role, they conducted keyword research, optimized website elements, and developed link building strategies.

Prior to that, they worked as an Exam Proctor at Tata Consultancy Services AT from August 2020 to May 2023. Akansha'sresponsibilities included test security, maintaining confidentiality, and monitoring attendance during exam sessions.

Akansha also worked as an Associate Recruiter at OKAYA INFOCOM from April 2021 to September 2022. Akansha'srole involved reviewing resumes, screening candidates, and shortlisting appropriate ones for vacant job positions.

Furthermore, they gained experience as an Irrigation Intern at the Rural Engineering Department from June 2017 to December 2017. During this time, they learned about piping structures, measured maps, and understood government requirements for supplying water to rural areas.

Akansha Singh completed their Bachelor of Technology degree in Civil Engineering Technologies/Technicians from APJ Abdul Kalam Technological University, which took place from 2014 to 2018. Akansha also earned a Bachelor of Technology degree in Civil Engineering from Anand Engineering College(SGI) during the same time period.

In 2023, Akansha enrolled in Great Learning to pursue a Google Analytics program. Akansha obtained additional certifications, including Google Analytics, Perform Cloud Data Science with Azure Machine Learning, IAB Digital Marketing and Media Foundations Certification, SEO strategies, search engine marketing, and Machine Learning Algorithms, all from Great Learning. The specific dates of completion for these certifications are as follows: Google Analytics and Perform Cloud Data Science with Azure Machine Learning in March 2023, IAB Digital Marketing and Media Foundations Certification, SEO strategies, and search engine marketing in May 2023, and Machine Learning Algorithms in April 2023.

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