Ridhi Sharma
@ridhisharma1
Data Analyst focused on KPI reporting, dashboards, and predictive analytics.
What I'm looking for
I’m an MBA graduate in Business Analytics with a Statistics foundation, and I bring hands-on experience in data analysis, KPI reporting, and business intelligence dashboarding. I’ve built and maintained live Power BI dashboards tracking 100+ SKUs across multiple e-commerce platforms, while turning messy datasets into structured, stakeholder-ready reporting.
I also develop predictive models—like a Python logistic regression model on 1,000+ records—to support business decisions such as customer cancellation risk. From marketplace analytics and ROAS monitoring to EDA, validation, and trend analysis, I focus on clear insights, reliable data, and actionable recommendations.
Experience
Work history, roles, and key accomplishments
Business Analytics & Data Analyst
Rangoli Furnishings
Apr 2026 - Jun 2026 (2 months)
Managed MIS reporting and sales analytics across four marketplace platforms, delivering weekly and monthly KPI reports covering 100+ SKUs. Built and maintained Power BI/Excel dashboards and performed SKU-level performance, pricing, return-rate, and ad-performance analysis to support business decisions.
Business Analyst Intern
Deal Squad
May 2025 - Jul 2025 (2 months)
Analyzed hotel booking and cancellation data to identify trends in revenue performance and cancellation rates across channels. Prepared structured MIS reports and conducted competitor and customer feedback analysis to support management and operations.
Education
Degrees, certifications, and relevant coursework
Amity Business School, Amity University, Noida
MBA, Business Analytics
2024 - 2026
Grade: CGPA 8.3/10
Pursuing an MBA in Business Analytics (CGPA 8.3/10), with dissertation work on building a Resource Efficiency Index using Eurostat and World Bank data (2010–2022) and applying OLS regression and correlation analysis.
Amity University, Noida
Bachelor of Science, Statistics
2020 - 2023
Grade: CGPA 8.67/10
Completed a B.Sc. in Statistics (CGPA 8.67/10), providing a quantitative foundation supporting later analytics work.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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