Alex M.

Experienced data scientist and AI researcher with a strong background in audio signal processing, machine learning, and natural language processing. Skilled in developing advanced algorithms for deepfake detection, clustering analysis, and feature extraction, leveraging techniques such as wavelet transforms, MFCC, and self-supervised embeddings. Proficient in Python, C, C++, Java, SQL, and modern frameworks for data visualization and dashboard development (Dash, Plotly). Adept at designing and implementing NLP solutions, chatbots, and AI-powered systems, as well as performing in-depth statistical analysis and explainability studies (e.g., SHAP). Combines academic expertise with practical problem-solving skills to deliver innovative, data-driven solutions in research, education, and applied technology projects.