👋 Hello! My name is...
Alexsander Lopes Camargos
and I'm a
Who I am
Greetings! I am a seasoned Brazilian professional, boasting over 15 years of expertise in the administrative domain, now embarking on an exciting transition into data analysis. I possess a deep passion for distilling complexity into clarity, excelling in crafting strategic, data-driven solutions. Armed with a degree in Business Administration and furthering my studies in Economics and Business Intelligence, I am ever eager to embrace new challenges and leverage my knowledge to foster impactful outcomes.

Here are a few technologies I've been working with recently:
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Languages & Tools
- Languages: Python, R, SQL
- Processing Libraries: PySpark, Pandas, Polars, NumPy, DuckDB
- Visualization Libraries: Matplotlib, Seaborn, Plotly
- Business Intelligence: DAX, Power Query M
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Modeling & Machine Learning
- Libraries: Scikit-learn, Statsmodels
- Techniques: Classification, Regression, Clustering, Random Forest, SVM, Gradient Boosting (AdaBoost, XGBoost)
- Model Validation: Cross-validation, Performance Metrics (Accuracy, Precision, Recall, F1-Score, AUC-ROC)
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Data Visualization & Storytelling
- BI Tools: Power BI, Tableau, Looker Studio
- Code Dashboards: Streamlit, Rill, Evidence
- Techniques: Data Storytelling, Stakeholder Communication
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Engineering & Databases
- SQL Databases: PostgreSQL, MySQL, MariaDB, SQL Server
- NoSQL Databases: MongoDB
- Access Tools: Datagrip, DBeaver
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Cloud & Data Pipelines
- Cloud Platforms: AWS, Azure, Oracle Cloud
- Data Platforms: Databricks, MotherDuck
- Deployment: Vercel, Netlify, Linode
Some Things I've Built
- Python
- Scraping
- Beautiful Soup
- Requests
- Python
- Selenium
- pathlib
- Microsoft Power BI
- Microsoft Power Query
- DAX (Data Analysis Expressions)
- Microsoft Power BI
- Microsoft Power Query
- DAX (Data Analysis Expressions)

Featured Project
Python Fundamentus

Featured Project
Bacen IF.data AutoScraper & Data Manager

Featured Project
Nobel Prize Master Data

Featured Project
Space Race
Get In Touch
My inbox is always open. If you want to offer me an opportunity, have a question or just want to say hi, I will try my best you answer you!