As a Young Apprentice in Data Science, I've worked in two projects, until this time: - Generative AI Project: • Performed web scraping to collect structured and unstructured data from multiple online sources. • Conducted exploratory data analysis (EDA) to identify patterns, trends, and outliers. • Implemented Optical Character Recognition (OCR) techniques to extract information from images and digitized documents. • Created and maintained comprehensive project documentation, ensuring clarity, standardization, and reproducibility. • Generated synthetic data for scenario simulation and to support AI model training. • Assessed and improved data quality by handling missing values, inconsistencies, and duplicates. - Lanaken Soft Sensor (current project): • Conducted requirements gathering, including preliminary data analysis and engagement with stakeholders to align expectations and define project scope. • Performed exploratory data analysis (EDA), focusing on identifying and handling missing values (NaN) and evaluating overall data quality. • Produced detailed technical documentation covering project progress and formal communications with stakeholders. • Applied statistical techniques to develop predictive models, including regression and classification, aimed at estimating and forecasting outcomes with greater accuracy.

My Education

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Bachelor of Science in Computer ScienceBrazilian Institute of Rehabilitation Medicine (IBMR) | 2027

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Gabriel Escudine

Data Scientist

Radix Engenharia & Software | Brazil

Unleashing the magic of data, one algorithm at a time.

My Work

Introduction to Python

Intermediate Python

Introduction to Python

DataCamp Course Completion

Courses

Courses

Projects

My Work Experience

Radix Software & Engineer | Jan 2025 - Present

Young Apprentice in Data Science

My Education

About Me