Expert Relational Database Design for Gym Management Systems

Expert Relational Database Design for Gym Management SystemsExpert Relational Database Design for Gym Management Systems

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Alberto Castro Jiménez

• 16h

Designed a normalized relational database for a gym management system, covering members, services, and payments. Defined entities, primary/foreign keys, and referential integrity constraints to ensure clean, reliable data storage — built as a scalable foundation for future analytics and BI reporting.

Data Modeling SQL

Aisha Kiran

• 2d

Analyzed Superstore dataset to uncover sales trends, top categories, and regional performance using Google Sheets.

Tools Used: Google Sheets (formulas, pivot tables, charts)

Key Insights:

· Identified top-selling product categories and sub-categories.

· Highlighted regions with highest sales and revenue patterns.

· Visualized trends to support business decisions.

Data Analysis Google Sheets Data Visualization SQL

Bryan Munuve

• 1d

Revenue Leak Calculator Open your calculator at https://bryanmunuve74-beep.github.io/revenue-leakage-dashboard/

REAL AUDIT RESULTS

$333,874 in revenue identified as at risk across a single store diagnostic

$8,500–$22,000/month in recoverable revenue modelled across three fix scenarios

Every finding ranked by dollar value — before a cent is spent on implementation

Business Consulting Data Modeling Frontend Development HTML5 pandas SQL

Bryan Munuve

• Apr 28

Built an interactive Streamlit dashboard that models revenue recovery scenarios for e-commerce stores. Allows filtering by customer state, product category, and payment type. Three interactive sliders model recovery assumptions — late delivery reduction, customer churn rate, and cancellation recovery rate — and instantly recalculate dollar outcomes. Identified $333,874 in structural revenue risk across 99,441 orders with recovery potential of $40K–$137K depending on execution.