Junior Data Analyst | Python • SQL • Power BI • Tableau
• ML(SKlearn)
📍 Lisbon, Portugal | 💼 Open to Remote, Hybrid & Freelance Roles
I'm a former logistics and supply chain pro turned data analyst. After over a decade in business operations at companies in Brazil and Germany, I made a career switch to follow my passion for data-driven decision-making.
I completed an intensive Data Analytics Bootcamp at Tripleten, where I built a solid portfolio of 14+ hands-on projects, all published on GitHub.
📊 Exploratory Data Analysis • 📈 Visualization • 🧮 Statistics • 🤖 ML (basics) • 🔍 ETL • 🧹 Data Cleaning
| 💼 Project | 🔗 Link | 🛠️ Tools & Languages | 📌 Description |
|---|---|---|---|
| 🧹 E-commerce Data Quality Assessment | 📂 Notebook |   |
Cleaned and analyzed e-commerce customer data for quality and behavior insights. |
| 🎵 Music Streaming Analysis | 📂 Notebook |  |
Identified music listening patterns by city and platform. |
| 🛒 Instacart Basket Analysis | 📂 Notebook |  |
Performed market basket analysis using association rules. |
| 📱 Mobile Plan Optimization | 📂 Notebook |  |
Modeled user behavior to recommend telecom plans. |
| 🚗 Vehicle Dashboard (Power BI) | 📊 Project |  |
Built an interactive dashboard to explore vehicle trends. |
| 🎮 Game Sales Analysis | 📂 Notebook |  |
Analyzed video game sales by platform and region. |
| 🚕 Taxi & Weather Impact | 📂 Notebook |  |
Explored the effect of weather on taxi trip durations in Chicago. |
| 📈 Marketing Optimization | 📂 Notebook |  |
Assessed marketing ROI to optimize budget distribution. |
| 🧪 A/B Test Analysis | 📂 Notebook | |
Validated A/B tests to improve conversion and revenue. |
| 🤖 Robot Café Market Study | 📂 Notebook | |
Evaluated LA neighborhoods for a robot-waiter café launch. |
| 🍔 User Funnel & A/A/B Testing | 📂 Notebook |  |
Conducted funnel and experimental analysis for a food delivery app. |
| 📹 YouTube Trends Dashboard | 📊 Project |  |
Created a dashboard showing trending video topics by country. |
| 🏋️♂️ Gym Churn Prediction | 📂 Notebook |  |
Built ML models to predict and reduce customer churn in a fitness center. |
| 🧠 E-commerce RFM Segmentation | 📂 Notebook |  |
Applied RFM analysis and K-means clustering to group online store customers. |
🔗 Check all my work here → GitHub Portfolio
- ✅ Data Analytics Bootcamp – Tripleten (2025)
- ✅ Business Intelligence with Power BI – Udemy (2023)
- ✅ Data Analysis Career Essentials – Microsoft (2023)
- ✅ Algorithms – CursoemVideo (2023)
| Language | Level |
|---|---|
| 🇵🇹 Portuguese | Native |
| 🇬🇧 English | Fluent |
| 🇪🇸 Spanish | Intermediate |
| 🇩🇪 German | Beginner |
I’m actively seeking my first opportunity as a Junior Data Analyst. Open to collaboration, freelance work, and full-time positions.
📬 Feel free to reach out via LinkedIn or send an email to aguilherme.rg@gmail.com
“Data is a tool for creating better decisions, not just better dashboards.”