Sriharini Tumu

Sriharini Tumu

Senior Analyst @ LatentView Analytics

About Sriharini Tumu

Sriharini Tumu is a Senior Analyst at LatentView Analytics, specializing in data-driven decision-making and data analytics. She holds a Bachelor of Technology in Electronics and Communications Engineering from SRM University and has experience in Python programming.

Work at LatentView Analytics

Sriharini Tumu has been employed at LatentView Analytics since 2021, serving as a Senior Analyst. In this role, she applies her expertise in Business Intelligence and Data Analytics to support data-driven decision-making. Her position involves interpreting complex datasets and utilizing Python programming to enhance analytical processes. LatentView Analytics is known for its focus on data analytics and insights, making her contributions significant to the company's objectives.

Education and Expertise

Sriharini Tumu earned her Bachelor of Technology (BTech) in Electronics and Communications Engineering from SRM University, completing her studies from 2013 to 2017. This educational background provides her with a strong foundation in technical skills, particularly in Data Analytics. Her expertise in Python programming further enhances her analytical capabilities, allowing her to effectively interpret and manage complex datasets.

Background

Prior to her current role, Sriharini Tumu worked as a Senior Data Analyst at Systech Solutions, Inc from 2018 to 2021. During her tenure, she developed her skills in data analysis and contributed to various projects that required a deep understanding of data interpretation. Additionally, she completed a one-month summer internship at BHEL Hyderabad in 2015, which provided her with practical experience in the field.

Skills in Data Analytics

Sriharini Tumu possesses a robust skill set in Data Analytics, which is critical for her role as a Senior Analyst. Her ability to interpret complex datasets allows her to provide valuable insights that inform business decisions. The combination of her educational background and professional experience has equipped her with the necessary tools to excel in data-driven environments.

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