
Shristi Kammar
@shristikammar
I automate media analytics reporting and uncover audience insights with data.
What I'm looking for
At Nielsen, I analyse large-scale international radio audience measurement data to identify anomalies, listening trends, and performance drivers across regional markets.
I've automated daily Spotfire BI reporting with a Python, Playwright, and Google Apps Script pipeline, reducing manual processing time by 83% within corporate IT restrictions. I also built a Gmail-based image-processing solution that removed roughly 20% of recurring daily workflow effort.
I investigate data inconsistencies across ingestion and delivery stages, validate findings against upstream sources, and turn raw measurement data into actionable reporting for cross-functional teams. My process-innovation work earned Nielsen's Excellence in Process Innovation award.
Through my MBA in Business Analytics and hands-on projects, I've applied SQL, Python, clustering, data cleaning, predictive modelling, and Power BI to customer segmentation, sales analysis, and interactive dashboards.
Experience
Work history, roles, and key accomplishments
Automated daily Spotfire BI reporting through a hybrid Python and Google Apps Script pipeline, reducing manual processing time by 83%. Analyzed large-scale international radio audience measurement datasets and built solutions to automate Gmail-based image processing, eliminating roughly 20% of recurring manual effort.
Education
Degrees, certifications, and relevant coursework
365 Careers
Data Science Bootcamp, Data Science
Completed a Data Science Bootcamp covering data science fundamentals and practical skills.
IFIM Business School
MBA, Business Analytics
MBA in Business Analytics with applied grounding in statistics, hypothesis testing, regression, clustering, A/B testing, and machine learning.
KLE's SK Arts College and HSK Science Institute
Bachelor of Arts, Psychology, Journalism, and English
Bachelor of Arts with majors in Psychology, Journalism, and English.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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