Data Scientist & Developer
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.
Time series modeling comparing actual versus predicted values for sales planning optimization.
Evaluation of error distribution and dispersion relative to actual revenue for model validation.
Unsupervised logarithmic scaling clustering analyzing purchase frequency and average ticket size.
Statistical correlation analysis (Pearson = 0.853) between purchase frequency and gross revenue (R² = 0.728).
Python model focused on customer segmentation and grouping applying Machine Learning algorithms.
Data analysis and forecasting project exploring time series and advanced visualizations.
Exploratory analysis using advanced SQL queries for extracting insights and patterns in credit data.
Detailed study and data treatment focused on identifying profiles and factors associated with default.
Predictive analysis and modeling for credit risk evaluation and underwriting.
Exploratory study and data modeling focused on telemarketing campaign conversion.
Detailed modeling and performance evaluation of campaigns to optimize conversion and engagement.
Development of regression models for predictive analysis of individual income.
Compilation of assignments, practical exercises, and projects developed throughout the data program.
Corporate systems developed to optimize internal routines, manage inventories, and control approval workflows at Unimil.
Centralized menu dividing modules for New Request, Inventory Control, and Approvals & Outputs.
Check out my code and productions: