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Sou estudante de Análise e Desenvolvimento de Sistemas
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Sou estudante de Análise e Desenvolvimento de Sistemas
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nicollascamargo/README.md

🎮 What will you do?

⚔️ FIGHT
Move Type Effect
ETL PIPELINE Data Eng. Collects, cleans and loads data, with automated tests
FORECAST ML Time-series models validated walk-forward
SQL QUERY Databases SQL Server · MySQL: joins, filters, extraction
PYTHON Core pandas · NumPy · scikit-learn
DASHBOARD Analytics Power BI reports people actually use
🎒 BAG

🔮 Poultry Price Forecasting
Key item. Predicts prices 1 to 3 months ahead, served through FastAPI.

📡 Data Job Radar
Finds data jobs that match my CV twice a day and sends them to Telegram.

📦 Agro Sales Pipeline
ETL pipeline for agribusiness sales data, with automated tests.

🗂️ Click Manager
ASP.NET Core web system with JWT auth and SQL Server (PIM III).
👥 TEAM

NICOLLAS wants to join your team!

LinkedIn Email
🏃 RUN

Can't escape!
NICOLLAS is open to data internships and junior roles.

🏆 Secret found. Send a message with the subject "I tried to run" and it's a coffee chat.

🪪 Trainer Card

Trainer card. Name: Nicollas. Class: Data Science and Data Engineering. Home: Sorocaba, SP. Languages: Portuguese and English C1. Graduation: December 2026. Status: open to work.

Systems Analysis and Development student at UNIP Sorocaba, graduating in December 2026, with 220+ hours of training in Data Science, Data Engineering and Machine Learning. I build pipelines, forecasts and APIs, and I test them before trusting them.

🏅 Badge Case

Badge case with eight badges: Python, SQL, Pipeline, Forecast, API, Dashboard, Git, and one still locked.

Badge Earned by
🟡 PYTHON pandas, NumPy and scikit-learn across my data projects
🔵 SQL Queries, joins and relational modeling on SQL Server and MySQL
🟢 PIPELINE ETL that collects, cleans and loads data, with automated tests
🟣 FORECAST Time-series models validated walk-forward, month by month
🟠 API FastAPI and ASP.NET Core services, with authentication
📊 DASHBOARD Power BI dashboards and data visualization
🔴 GIT Git and GitHub for every project, CI and scheduled GitHub Actions
🔒 ??? Not earned yet. The next gym is on the map.

📜 Quest Log

✅ QUEST COMPLETE

Poultry Price Forecasting

Predicts poultry prices 1 to 3 months ahead from feed cost, exchange rate and inflation. Validated walk-forward, beats the naive baseline at every horizon and is served through a FastAPI API with tests and CI.

Python · scikit-learn · FastAPI
Reward: 🟣 FORECAST · 🟠 API

✅ QUEST COMPLETE

Data Job Radar

Searches LinkedIn, Indeed, Glassdoor and Adzuna twice a day for junior and internship data jobs, compares each one with the skills in my CV and sends the best ones to Telegram.

Python · SQLite · GitHub Actions
Reward: 🟢 PIPELINE · 🔴 GIT

✅ QUEST COMPLETE

Agro Sales Pipeline

ETL pipeline in Python that consolidates and processes agribusiness sales data, with automated tests for the dashboards it generates.

Python · pandas · ETL
Reward: 🟢 PIPELINE · 📊 DASHBOARD

✅ QUEST COMPLETE · ACADEMY

Click Manager

Web management system for a photography studio: JWT authentication, relational database modeling, accessibility documentation (LIBRAS) and a module applying Machine Learning.

ASP.NET Core 8 · Entity Framework Core · SQL Server
Reward: 🟠 API · 🔵 SQL

🔒 NEXT QUEST · House Price Prediction: regression with feature engineering and model comparison. Python · scikit-learn · Reward: ???

🗺️ World Map

Stage
🏠 TATUÍ · 2022 Sales and customer service: inventory control in Excel, spotting inconsistencies in the data
🏫 UNIP SOROCABA · Feb 2025 Systems Analysis and Development begins
🌲 TRAINING FOREST 220+ hours of Data Science, Data Engineering, AI and Data Analysis
⛰️ PROJECT PEAK Four quests complete: forecasting, ETL, a job radar and a web system
📍 YOU ARE HERE Studying statistics for data science, machine learning and data engineering
🏆 DEC 2026 Graduation, and the first data role
🌍 POST-GAME A data career and further studies abroad

💾 Save Point

Would you like to save your progress?

LinkedIn Email Portfolio



Thanks for playing! Continue? Yes.

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