Benjamin Durand Email & Phone Number

France

Geneva, Switzerland

Context: Development and management of a unit specializing in Data consulting.Responsibilities :- Data Strategy Development: Led the unit's expansion in French-speaking Switzerland, identifying and implementing customized data solutions to meet diverse client needs, enhancing the company's service offerings.- Performance Analysis: Conducted continuous monitoring and analysis of strategic and operational objectives using data visualization tools, contributing to improved decision-making processes and operational efficiency.- Financial Management: Utilized data analytics to oversee financial operations, optimizing budgets and providing data-driven insights that supported cost management strategies.- Data Team Leadership: Recruited and managed a team of data consultants

Montpellier, Occitanie, France

Context: Developed a Python application using advanced machine learning and deep learning techniques to build a library of high-quality audio samples for a connected synthesizer.Responsibilities:- Developed neural networks using TensorFlow to classify audio data with over 95% accuracy.- Prepared, cleaned, and enriched over 10,000 audio samples using Librosa and Pandas, enhancing data quality for accurate model training and classification.- Collaborated with clients to gather and refine requirements.- Authored comprehensive documentation detailing the model architecture, data pipeline, and testing procedures, facilitating seamless handover and future updates.- Designed the application architecture that streamlined data processing.- Developed and executed unit tests, ensuring robust application performance.Environment: Python, TensorFlow, Numpy, Pandas, Librosa, Matplotlib, Git, Unittest, Linux (Ubuntu)

Montpellier, Occitanie, France

Context: Analyzed global survey data on development technologies, cleaning and structuring large datasets to identify trends, preferences, and patterns in technology adoption among developers.Responsibilities:- Conducted exploration, manipulation, and cleaning of over 500,000 survey responses using Python, enhancing data quality and accuracy for subsequent analysis.- Produced over 20 insightful visualizations using Matplotlib and Seaborn, highlighting key trends in global technology adoption.- Collaborated with stakeholders to refine data analysis requirements, ensuring the final reports addressed all key client needs- Authored detailed documentation covering data processing steps and visualization methodologies, enabling easy replication and future analysis by other teams.Environment: Python, Matplotlib, Numpy, Pandas, Seaborn, Scikit-learn, Git, Linux (Ubuntu)

Paris, Île-De-France, France