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Kaio
Pacheco

Data Analyst

About me

I am a data analyst focused on business driven analytics and decision support. My analytical work usually begins with understanding the context of a problem and the decision it is meant to inform, before moving into data exploration and evaluation.

Through hands on projects, I have analyzed data related to marketing, retail, demand patterns, and user behavior. This work involved examining performance drivers, identifying relationships between variables, and understanding how different factors influence outcomes across business scenarios.

A recurring part of my work is structuring analysis clearly and translating results into understandable narratives. Visual analysis and dashboards are used to connect findings to business questions and support practical decision making in non technical contexts.

Portfolio

RetailCo — Discount Dependency and Net Revenue

Analysis of how discount strategies impact net revenue across products, stores, and customer segments, translating pricing behavior into actionable revenue insights.

Olist — Retail Demand Signals and Projections

Exploration of order demand patterns and projections using transactional data, identifying regional and temporal signals to support demand planning and forecasting decisions.

Marketing Campaign Performance Analysis

SQL driven analysis of marketing campaign performance using efficiency metrics to compare results across countries, platforms, and campaigns, supported by an interactive dashboard.

Content Based Drop-off Analysis in OTT Streaming

Content focused analysis of viewer drop-off behavior in streaming platforms, examining how content characteristics relate to engagement patterns and retention risk.

Resume

Summary

  • Data Analyst with hands on project experience in marketing, retail, demand analysis, and user behavior

  • Strong analytical background using SQL, Python, and R for data exploration, segmentation, performance, and trend analysis

  • Experience building dashboards and analytical views using data visualization tools to support business and operational decision making

  • Focus on structured analysis, clear metrics, and translating data into actionable insights

  • Comfortable communicating analytical results through clear narratives, visual summaries, and business oriented insights
     

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