Namita Ahuja
About Namita Ahuja
Namita Ahuja is a Data Analyst currently employed at The Smart Cube in New Delhi, India. She holds a Master of Science in Statistics from Lady Shri Ram College for Women and has accumulated diverse experience in data analysis and marketing roles across various organizations.
Current Role at The Smart Cube
Namita Ahuja currently serves as a Data Analyst at The Smart Cube, a position she has held since 2022. In this role, she focuses on data extraction, quality checks, and preprocessing using tools such as Excel and Python. Her work involves generating ad hoc and quarterly data reports, which contribute to informed decision-making within the organization.
Previous Experience in Data Analysis
Before joining The Smart Cube, Namita Ahuja gained valuable experience in various roles related to data analysis. She worked as a Fellowship at Alphaa AI for one month in 2021. Additionally, she held positions at Vardhan Consulting Engineers as a Research Intern and at HouseItt as both a Marketing Associate and Marketing Analyst, where she developed her analytical skills and understanding of market dynamics.
Educational Background in Statistics
Namita Ahuja completed her Master of Science in Statistics from Lady Shri Ram College For Women, studying from 2020 to 2022. She also holds a Bachelor of Science in Statistics from the University of Delhi, where she studied from 2017 to 2020. Her educational background provides a strong foundation for her analytical capabilities and understanding of statistical methodologies.
Internship Experience
Namita Ahuja has completed several internships that contributed to her professional development. She interned at the Ministry of Statistics and Programme Implementation from 2021 to 2022 for three months. During her internships, she executed data extraction and quality checks, enhancing her practical skills in data handling and analysis.
Key Projects and Contributions
In her current role, Namita Ahuja has developed comprehensive dashboard solutions for significant projects, including those with a leading consumer packaged goods (CPG) client. She has also implemented market mix modeling, which has improved strategic insights and operational efficiency within her team.