Henrique Sturion

Data Scientist & Developer

About Me

Data Science student and technology intern. Passionate about data analysis, machine learning, and automation, with hands-on experience in Python, SQL, Power BI, Power Apps, Power Automate, and developing efficient solutions.

Python Python
SQL SQL
Power BI Power BI
Power Apps Power Apps
Power Automate Power Automate
Databricks Databricks

Featured Modeling & Insights

Sales Forecasting - Time Series

Revenue Forecasting with AI

Time series modeling comparing actual versus predicted values for sales planning optimization.

Error and Residual Analysis

Diagnostics & Residual Analysis

Evaluation of error distribution and dispersion relative to actual revenue for model validation.

K-Means Customer Segmentation

Customer Segmentation (K-Means)

Unsupervised logarithmic scaling clustering analyzing purchase frequency and average ticket size.

Linear Regression - Gross Revenue x Frequency

Gross Revenue x Purchase Frequency

Statistical correlation analysis (Pearson = 0.853) between purchase frequency and gross revenue (R² = 0.728).

Kaggle Projects

Customer Clustering (K-Means)

Python model focused on customer segmentation and grouping applying Machine Learning algorithms.

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French Bakery Daily Sales

Data analysis and forecasting project exploring time series and advanced visualizations.

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Credit Data Exploration & Analysis with SQL

Exploratory analysis using advanced SQL queries for extracting insights and patterns in credit data.

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Defaulted Accounts Data Analysis

Detailed study and data treatment focused on identifying profiles and factors associated with default.

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GitHub Projects

Credit Score

Predictive analysis and modeling for credit risk evaluation and underwriting.

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Telemarketing Analysis

Exploratory study and data modeling focused on telemarketing campaign conversion.

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Telemarketing Campaign Analysis

Detailed modeling and performance evaluation of campaigns to optimize conversion and engagement.

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Income Prediction

Development of regression models for predictive analysis of individual income.

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Study Repository (EBAC)

Compilation of assignments, practical exercises, and projects developed throughout the data program.

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Corporate Applications & Automations

Corporate systems developed to optimize internal routines, manage inventories, and control approval workflows at Unimil.

Contact & Networks

Check out my code and productions:

GitHub | Kaggle | LinkedIn