Ankita Kamble
About Ankita Kamble
Ankita Kamble is a Business Analyst at TomTom with expertise in creating interactive dashboards using Tableau and Power BI.
Current Role at TomTom
Ankita Kamble currently serves as a Business Analyst at TomTom. She has been with the company since 2021. In her role, she focuses on analyzing business data to inform decision-making processes. Ankita is responsible for creating interactive and performance-oriented dashboards using tools like Tableau and Power BI, demonstrating her ability to translate raw data into actionable insights.
Previous Experience at Cipla
Ankita Kamble worked at Cipla as a Tableau Consultant through Team Computers Pvt Ltd for four months, from 2020 to 2021. While there, she specialized in using Tableau to develop data visualizations tailored to the pharmaceutical sector. Her responsibilities included creating dashboards to support business processes and presenting data insights to stakeholders efficiently.
Educational Background
Ankita Kamble earned a Bachelor of Engineering (BE) in Information Technology from Shivajirao S Jondhale College of Engineering, studying from 2015 to 2019. Before that, she attended SMT. CHM College, Ulahasnagar, where she completed 11th-12th Science from 2013 to 2015. She also studied at Carmel Convent High School in India.
Expertise in Data Visualization
Ankita Kamble has developed considerable expertise in creating interactive and performant dashboards using Tableau and Power BI. Her work focuses on transforming raw data into processed data that meets specific business requirements. She routinely presents and demos her dashboards to stakeholders, ensuring that complex data insights are communicated effectively.
Role at Team Computers
Ankita took on multiple roles at Team Computers Pvt Ltd, notably as a Business Intelligence Consultant from 2019 to 2021. She worked on various projects, developing dashboards for different sectors, including pharmaceuticals and manufacturing. Her contributions involved ongoing support and updates, ensuring the relevance and accuracy of the data presented.