Pooja Kalyani

Pooja Kalyani

Solutions Analyst @ ThoughtSpot

About Pooja Kalyani

Pooja Kalyani is a Solutions Analyst currently employed at ThoughtSpot in Bengaluru, Karnataka, India. She has a background in data analysis and engineering, with experience at SagasIT Analytics Pvt. Ltd. and Accenture, and holds a B.Tech in Electronics and Communications Engineering from Mody University.

Current Role at ThoughtSpot

Pooja Kalyani currently serves as a Solutions Analyst at ThoughtSpot, a position she has held since 2023. In this role, she focuses on data analysis and visualization, utilizing her expertise in various data tools and technologies. Her work contributes to enhancing data-driven decision-making processes within the organization.

Previous Experience at SagasIT Analytics Pvt. Ltd.

Prior to her current role, Pooja worked at SagasIT Analytics Pvt. Ltd. as a Data Analyst from 2021 to 2023. During her tenure, she gained significant experience in data analysis and transformation processes, leveraging tools such as DBT. She also completed a Data Analyst Internship at the same company for two months in 2021.

Educational Background in Electronics and Communications Engineering

Pooja Kalyani completed her Bachelor of Technology (B.Tech) in Electronics and Communications Engineering at Mody University from 2012 to 2016. This educational foundation provided her with essential skills and knowledge applicable to her career in data analytics and engineering.

Experience at Accenture

Before her roles in analytics, Pooja worked at Accenture in India as a SAP Advanced Business Application Programming Consultant from 2016 to 2017. This experience allowed her to develop a strong understanding of business applications and programming, which complements her analytical skills.

Data Engineering Skills with Azure Databricks

Pooja possesses expertise in using Azure Databricks for data engineering tasks. This skill set enhances her ability to manage and analyze large datasets effectively, contributing to her overall proficiency in data analytics and visualization.

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