Pablo Freitas

Data Analyst · Python · Signal Analysis · Data Visualization

About Me

I’m a data analyst with expertise in Python, mathematical signal analysis, and data visualization. I work on identifying errors and anomalies in measurement signals using statistical and mathematical approaches, and build tools to support data quality and analysis workflows.

Projects

Measurement Signal Error Detection

• Tools: Python, NumPy, SciPy, Pandas, Matplotlib
• Description: Applying mathematical and statistical methods to detect errors and anomalies in measurement signals. Work includes signal validation, outlier identification, and building analysis pipelines to support data quality in engineering contexts.

Hate Speech Detection from Audio

• Tools: Python, OpenSmile, Whisper, TensorFlow
• Description: Developing a system to detect hate speech in audio using machine learning models and speech feature extraction. The project includes a graphical user interface (GUI) for ease of use.
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Data Visualization of Wildfires (Group Project)

• Tools: Python, Plotly, GeoPandas
• Description: Collaborated in a group project focused on visualizing wildfire data, using data science techniques to analyze geographical and temporal patterns.
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Areas of Interest

Computational Processing of Nheengatú (Modern Tupí)

• Tools: Python
• Description: Tools and resources for the computational processing of Nheengatú, a Tupi-Guarani language.
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Skills

• Python, NumPy, SciPy, Pandas
• Signal Analysis: error detection, outlier identification, statistical validation
• Data Visualization: Matplotlib, Plotly, Dash
• Speech Processing: OpenSmile, Whisper

Contact Me

• Email: pablofreitag@proton.me
• LinkedIn: pablo-freitas-it
• GitHub: pfs-db