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Francisco José Jaime Cuneo

• May 7

Built a full equity valuation model for Colgate-Palmolive combining discounted cash flow analysis, trading comparables, and scenario-based forecasting. The model evaluates revenue growth, EBITDA margin evolution, reinvestment assumptions, and intrinsic share value across multiple operating environments.

Financial Analysis Microsoft Excel

Geethasree Naguboina

pro

• May 6

Title: Your data is not the problem. The structure is.

Most business owners I speak to are not short on data.

They have spreadsheets. Exports. Reports sent every month. Numbers sitting in three different files that nobody looks at after the first week.

The real problem is not missing data — it is data that cannot be read quickly enough to change a decision.

A 5,000 row export tells you nothing at a glance. But a single dashboard showing revenue by channel, top performing SKU, and pending payments — that changes how a founder spends the next hour.

I have seen this pattern across CA firms, D2C brands, and small businesses. The data exists. The structure does not.

Clean structure means: One place for all numbers Metrics linked to actual decisions Flags that tell you when something needs attention — not just what the current state is

If your data lives in scattered sheets and nobody is acting on it, the issue is not the data. It is the system around it.

That is exactly what I fix.

Data Visualization Data Analysis Microsoft Excel Google Sheets businessintelligence exceldashboard datastructure

Vincent Pasili

pro

• May 7

Great definition of your niche!

Julia Rakitina

• May 6

I contributed by building and optimizing core features for medication search, real-time price comparison, and coupon application. This involved integrating pharmacy pricing APIs, improving performance and scalability of data-driven workflows, and ensuring a smooth, reliable user experience across the app.

Backend Development Mobile Development Flutter Node.js Firebase

Maksim Akinshin

• May 5

MagSalesAdvisor - Sales Analytics & Forecasting: A data-driven desktop application for sales analysis. It processes large CSV datasets to calculate revenue metrics, perform ABC analysis, and provide inventory demand forecasting for retail optimization.