NMNishad Rashid MahiContact

SELECTED WORK · FIVE VERIFIED PROJECTS

See how I turn business questions into evidence.

My verified work covers UK political funding, e-commerce revenue and retention, Amazon.in apparel operations, Walmart store performance, and responsible maternal-health risk modelling.

01VERIFIED CASE STUDY · PUBLIC-INTEREST ANALYTICS

Who Funds UK Political Parties?

A reproducible audit of 65,278 Electoral Commission records, separating private donations from public funding and measuring donor concentration, election-cycle funding and reporting quality.

PythonSQLTableau
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02VERIFIED CASE STUDY · E-COMMERCE ANALYTICS

Revenue Leakage & Customer Retention

An end-to-end SQL, Python and Power BI audit of 138,116 online-retail orders, tracing booked revenue to collected cash and identifying discount, delivery and retention risks.

SQLPythonPower BIDAX
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03VERIFIED CASE STUDY · E-COMMERCE OPERATIONS

Amazon.in Apparel Operations & Stock Review

A rebuilt analysis of one Amazon.in apparel seller, connecting 128,975 order lines with stock data to explain falling revenue, fulfilment cancellations and inventory risk.

PythonSQLPower BIDAX
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04VERIFIED CASE STUDY · RETAIL PERFORMANCE

Walmart Sales Trend · 2010–2012

An end-to-end retail analysis of 45 Walmart stores that corrects a misleading holiday flag and shows when sales peak, which stores drive performance and what should inform the forecast.

SQLPythonExcelTableau
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05VERIFIED CASE STUDY · RESPONSIBLE MACHINE LEARNING

Maternal Health Risk Screening

An honestly tested maternal-risk screening model that removes duplicate leakage, prioritises the cost of missed high-risk mothers and explains how far the result can—and cannot—be trusted.

Pythonscikit-learnpandasTableau
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