Anusha Dhiman
Chandigarh, India
Anusha Dhiman
Business data analys, Writer
Category : Artificial intelligence (AI)
I am a business data analyst with a strong foundation in AI/ML. I can help you in data analysis and visualisation, ML projects, automation, creating dashboards, requirement gathering, KPI tracking and making BRDs. I am a writer and have experience of 4 years in it from coding ninjas cuiet club and internships. I can help you write professional write-ups, blogs, and can also work as a ghost writer.
If you need someone good in communication, creative work, story telling and data analysis and visualisation with detail oriented, I am the one for you.
If you need someone good in communication, creative work, story telling and data analysis and visualisation with detail oriented, I am the one for you.
Working hours
- Monday:08h00 To 19h00
- Tuesday:08h00 To 19h00
- Wednesday:08h00 To 19h00
- Thursday:08h00 To 19h00
- Friday:08h00 To 19h00
- Saturday:08h00 To 19h00
- Sunday:08h00 To 19h00
Built an internal automation tool using Python that cut data preperation time from hours to 5 minutes, significatly
reducing manual efforts and speeding up onboarding workflow.
◦ Translated client business requirements into clear KPI definitions and dashboard logic, defining calculation rules,
filters, and metrics to ensure accurate analytics on dashboards and applications.
◦ Used SQL and Excel to extract, clean, standardize, and validate large FMCG datasets, performing pivot-based
reconciliation and anomaly checks to ensure accurate KPI reporting.
◦ Created and maintained client-facing process documentation defining the end-to-end project lifecycle, including
responsibilities, timelines, and delivery milestones, improving alignment and expectation-setting with clients.
◦ Collaborated with cross functional teams, and client-facing teams to determine feasibility, scope and ensure
product accuracy, and timely delivery
reducing manual efforts and speeding up onboarding workflow.
◦ Translated client business requirements into clear KPI definitions and dashboard logic, defining calculation rules,
filters, and metrics to ensure accurate analytics on dashboards and applications.
◦ Used SQL and Excel to extract, clean, standardize, and validate large FMCG datasets, performing pivot-based
reconciliation and anomaly checks to ensure accurate KPI reporting.
◦ Created and maintained client-facing process documentation defining the end-to-end project lifecycle, including
responsibilities, timelines, and delivery milestones, improving alignment and expectation-setting with clients.
◦ Collaborated with cross functional teams, and client-facing teams to determine feasibility, scope and ensure
product accuracy, and timely delivery
- 🇬🇧 English
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