Deepannita Chaudhary
About Deepannita Chaudhary
Deepannita Chaudhary is an Assistant Manager at KPMG India with a background in data analysis and finance. She has experience in various roles at The Smart Cube and possesses expertise in data visualization and business intelligence tools.
Work at KPMG India
Currently, Deepannita Chaudhary holds the position of Assistant Manager at KPMG India. She has been with the organization since 2021. In this role, she applies her expertise in data analysis and business intelligence to support various projects and initiatives within the firm.
Previous Experience at The Smart Cube
Deepannita Chaudhary has extensive experience at The Smart Cube, where she worked in various capacities. She served as a Data Analyst from 2017 to 2018, then progressed to Senior Data Analyst from 2018 to 2020, and finally held the position of Assistant Manager from 2020 to 2021. Her roles involved utilizing data visualization tools and analytical skills to drive insights and support decision-making.
Education and Expertise
Deepannita Chaudhary earned her Bachelor's degree in Zoology/Animal Biology from Kirori Mal College, studying from 2012 to 2015. She then pursued a Master's degree in Finance at ICFAI Business School from 2015 to 2017. Her educational background, combined with her expertise in data visualization tools such as Tableau, MS PowerPoint, and MS Power BI, equips her with a strong foundation for her career in analytics.
Skills in Data Analysis
Deepannita Chaudhary possesses strong skills in SQL and VBA-MS Excel, which are essential for business intelligence tasks. Her proficiency in these tools enables her to analyze complex data sets and generate actionable insights, contributing to her effectiveness in the analytics industry.
Internship Experience at Punjab National Bank
In 2016, Deepannita Chaudhary completed a four-month internship at Punjab National Bank in the New Delhi Area, India. This experience provided her with exposure to the financial sector and helped her develop foundational skills relevant to her subsequent roles in data analysis and business intelligence.