Hello, I'm Alexandre

Data Scientist

I transform data into valuable insights through statistical analysis, machine learning and data visualization to support strategic decisions.

Alexandre

About Me

Get to know my journey and experience

I'm a Data Scientist passionate about discovering patterns and hidden insights in data. With experience in statistical analysis, machine learning and data visualization, I work to transform raw data into strategic information.

My approach combines scientific rigor with creativity to solve complex problems and generate real value for organizations through data-driven solutions.

9+ Completed Projects
10+ Technologies
100% Dedication
Working with data

Technical Skills

How I interact with technologies in my daily work

alexandre@skillset:~$
Python
>>> if isinstance(alexandre, PythonExpert) and alexandre.experience > 5: return "Automation, analysis, and APIs? Just call me!"
Automation, analysis, and APIs? Just call me!
SQL
sql> SELECT skill, proficiency FROM expertise WHERE developer = 'alexandre' AND skill LIKE '%SQL%' HAVING proficiency = 'Advanced' /* Optimized query, indexes used! */
skill: SQL | proficiency: Advanced
Pandas
>>> df = pd.read_csv('challenge.csv') df.groupby('problem').apply(alexandre.solve) # Result: insights ready for decision-making
DataFrame transformed successfully!
Docker
$ docker build -t alexandre/solution:latest . && docker run --rm -e PROBLEM=complex alexandre/solution:latest
Container running... Problem solved!
Power BI
DAX> CALCULATE([Insights], FILTER(ALL('Projects'), [Author]="Alexandre" && [Level]="Advanced" ) )
Interactive dashboard created!
Git
$ git commit -m "feat: robust solution delivered by Alexandre" && git push origin main
[main abc123] feat: robust solution delivered by Alexandre
MongoDB
> db.skills.aggregate([ { $match: { user: "alexandre", skill: "MongoDB" } }, { $project: { proficiency: 1, pipelines: 1 } } ])
{ "proficiency": "Advanced", "pipelines": "Expert" }
Airflow
>>> with DAG('alexandre_pipeline', schedule_interval='@daily') as dag: run_etl = PythonOperator( task_id='run_etl', python_callable=alexandre.advanced_etl )
Airflow pipeline active and monitored!
Matplotlib
>>> import matplotlib.pyplot as plt plt.style.use('alexandre_custom') plt.plot(data, color='insights') plt.title('Another visualization that tells a story')
Chart saved: storytelling_with_data.png
Machine Learning
>>> from sklearn.ensemble import RandomForestClassifier model = alexandre.train_model(data, target) print(f"Accuracy: {model.score(X_test, y_test):.2%}")
Accuracy: 94.7% - Model ready for production!

Certifications

Validations of my technical competencies

Featured Projects

Solutions I developed to solve real problems

Data Scientists Guide

Complete guide for data scientists with methodologies, best practices and essential resources for professionals in the field.

Python Data Science Documentation

CSV Insights Tool

Interactive web tool for automatic analysis of CSV files, generating statistical insights and real-time visualizations.

JavaScript D3.js Data Visualization

Habits and Performance Analysis

Statistical analysis of correlation between personal habits and academic/professional performance using machine learning techniques.

Python Pandas Scikit-learn

Resume Optimizer

Intelligent system for resume optimization using natural language processing and job compatibility analysis.

NLP Python Text Analysis

Adventure Works - Executive Data Analysis

Interactive dashboard developed for financial analysis of Adventure Works bicycle company, with Machine Learning projections for 2022 and Brazilian market analysis.

Power BI Machine Learning SQL Business Intelligence

Learn Machine Learning Visually

Interactive educational platform for teaching machine learning concepts through dynamic visualizations and accessible practical examples.

JavaScript D3.js Educational Tech Interactive Learning

KPIs Governance Dashboard

Executive dashboard for data governance and strategic KPIs, featuring a modern lakehouse architecture and automated ETL/ELT pipeline for data-driven decisions.

Data Engineering Apache Airflow dbt Data Governance Business Intelligence

Data Engineer Case - DataOps Pipeline

Complete data processing system with DataOps pipeline integrating Python and MongoDB, offering full support for local, remote and Docker environments with advanced functionality.

Python MongoDB Pandas Docker DataOps

Windows Event Log Analyzer

Advanced tool for analyzing Windows event logs with AI-powered insights. Features intelligent pattern recognition, security analysis, and automated reporting for system administrators.

JavaScript HTML5 CSS3 Google Gemini API AI Analysis

Let's Talk?

Get in touch for discussions about projects and opportunities

LinkedIn

Connect with me

alex-des-santos

GitHub

See my projects

alex-des-santos

Email

Send me a message

eu@alexandre.pro