Géraud Assine

Develop statistical models for the analysis of complex data. Develop Python scripts for data science projects, improving analysis efficiency. Explore diverse datasets and design powerful visualizations to facilitate understanding of results. Implement machine learning algorithms and predictive models, consolidating data-driven decision-making. Apply deep learning methods and techniques for in-depth analysis and accurate predictions. Optimize existing models and technically solve problems encountered during analyses. Conduct industrial case studies to apply theoretical concepts to real-life situations. Write detailed analysis reports, facilitating communication of results to stakeholders. Advanced Reporting & Visualization: Create interactive tables with Tableau & Power BI. Writing a business memo to make recommendations to the company.

- Directed data collection (webscraping) and analysis, extracting relevant insights to improve sales performance. - Supervised the day-to-day running of the store, optimizing operations and increasing customer satisfaction. - Developed digital marketing strategies, increasing the company's visibility on social networks.

- Collected, analyzed and visualized data for academic projects. - Wrote project reports in data analysis, providing data-based conclusions and recommendations based on data.

During this period I worked on projects indirectly with UN Women in Dakar, producing dashboard reports. This enabled me to work independently and diversify my data analysis skills.

- Developed web applications in PHP, HTML and CSS, enhancing user interaction. - Analyzed and optimized existing code to ensure optimal performance.

As a data analyst trainee, I had to contribute to the choice of relevant indicators for the AgriSAN project (Agriculture for Food and Nutritional Security). I was also involved in data processing, analysis and prediction.

In this internship I worked on HIV data, applying duration methods, to calculate the probability that an HIV patient can survive. Manage data collection in the field, ensuring accuracy and reliability reliability. Analyze data, including descriptive and multidimensional statistics for meaningful reporting.