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Ridhi SharmaRS
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Ridhi Sharma

@ridhisharma1

Data Analyst focused on KPI reporting, dashboards, and predictive analytics.

India
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What I'm looking for

I’m looking for a Data Analyst/Business Analyst role where I can build KPI dashboards, run EDA and predictive modelling, and deliver clear, decision-ready insights—ideally in Delhi NCR with immediate impact and growth opportunities.

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

RF

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.

Education

Degrees, certifications, and relevant coursework

AN

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.

AN

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

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