Mazen Bougares

With a Master's degree in Data Science and Engineering from the University of Paul Sabatier, 2 years of experience in leading companies in France, such as SAFRAN and Airbus, and not to forget freelance projects with international clients, my journey through academic and industrial environments has allowed me to develop in-depth expertise in several key areas.

Languages: Python, Java, C, SQL, HTML, XML, CSS, and R.

Tools and platforms: SQLDeveloper, MySQL, Talend, Eclipse, RStudio, Power BI, Spark, Tableau, AWS, and Google Cloud.

Frameworks: Angular, Django, TensorFlow, Keras, PyTorch, and pandas.

Data Science and Engineering Skills:

Data Manipulation and Transformation: Advanced techniques for cleaning, transforming, and enriching large datasets.

Data Analysis: Expertise in statistical analysis, data exploration, and predictive model development.

Machine Learning: Design and deployment of machine learning models using various techniques such as decision trees, deep neural networks, k-means for clustering, as well as linear and logistic regression algorithms. Mastery of anomaly detection methods like Isolation Forest and clustering-based outlier detection.

Text Mining: Extraction and analysis of textual data to derive meaningful insights from large text collections.

ETL Processes: Expertise in extracting, transforming, and loading data to build robust and efficient data pipelines.

Data Integration: Skills in integrating data from diverse sources, ensuring a consolidated and consistent view of information.

Database Modeling and Structuring: Design and optimization of relational and non-relational database schemas for optimal performance.