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Pavel Santos

Фрилансер

Data Analyst

Amsterdam, Netherlands

Data Analyst

I've worked in data analysis for 6 years, for small e-commerce shops that need clarity from scattered spreadsheets and CRM exports. I work in Python (pandas) for processing and Power BI or Google Data Studio for visualization, chosen based on what the client can maintain themselves. I start from the decision the business needs to make, not from the chart. I don't build machine learning models — that's a related but separate specialization. A typical project is an audit plus one working dashboard, five to seven working days.

Data Analyst

Навыки

PythonPandasPower BIGoogle Data StudioSQLDashboards

Портфолио

Retail chain sales dashboard — case E9B52A

Dashboard — Power BI dashboard connected to CRM data, sales trends by location.

Subscription unit economics — case 1ADE17

Financial analytics — Calculated LTV, CAC, and break-even from six months of subscription data.

User retention cohort analysis — case 16261F

Financial analytics — Retention by signup cohort for a mobile app, visualized month over month.

Retail chain sales dashboard — case 250FC3

Dashboard — Power BI dashboard connected to CRM data, sales trends by location. A second, similar engagement for a different client.

Subscription unit economics — case 8D1136

Financial analytics — Calculated LTV, CAC, and break-even from six months of subscription data. A second, similar engagement for a different client.

User retention cohort analysis — case EF31F7

Financial analytics — Retention by signup cohort for a mobile app, visualized month over month. A second, similar engagement for a different client.

Retail chain sales dashboard — case 76E5AD

Dashboard — Power BI dashboard connected to CRM data, sales trends by location. A follow-up piece built on the same approach.

Subscription unit economics — case BFF81F

Financial analytics — Calculated LTV, CAC, and break-even from six months of subscription data. A follow-up piece built on the same approach.