Bouffémont, Île-de-France, France
My interest in data stems from a strong belief: it has the power to transform decisions into strategic opportunities. With two years of experience as a Data Analyst, I designed interactive dashboards in Power BI to optimize the performance of commercial and logistics teams. These tools helped reduce costs by 8%, improve processes by 15%, and simplify decision-making through clear and actionable visualizations. During this experience, I automated data imports using Fivetran, Excel, and Google Sheets, integrating new data into dashboards updated daily. This reduced human errors by 15% and data processing times by 20%. To strengthen my technical skills, I completed an intensive Data Analytics program at Le Wagon, where I honed my expertise in Python (pandas, matplotlib, seaborn, sklearn), SQL (BigQuery), and data visualization tools such as Looker Studio and Power BI. In the final project, titled "I Will Survive", I developed a correlation matrix and a cardiovascular health score integrated into an interactive dashboard. This project, focused on preventing cardiovascular diseases, is available on my portfolio. Today, I aim to leverage this dual expertise—operational and analytical—to help businesses fully realize the potential of their data, whether by optimizing performance or enabling data-driven decision-making through reliable and actionable insights.
As part of the Data Analyst training programs on the Paris campus: Supervision and support of groups ranging from 15 to 45 students. Sharing expertise on key tools and technologies: Google Sheets, Python (Pandas, NumPy, Sklearn, Matplotlib, Seaborn), SQL, Looker Studio, Power BI, Machine Learning, GTM, GA4, and more.
• Developed interactive dashboards using Power BI, monitored by the sales and logistics teams to optimize strategic decisions, leading to an 8% cost reduction and increasing landfill utilization rates to 95%. • Automated the analysis of logistics performance data, reducing daily processing time by 20% and decreasing errors by 15%. • Collaborated with operational teams to identify and resolve issues, improving process efficiency by 15%.
• Analysis and monitoring of construction site data for the Grand Paris Express project Management of technical documentation • Collaboration with field teams
• Data acquisition campaign as part of a project aimed at improving facial recognition quality
Final Internship: Determination of Crystalline Silica Concentration (FTIR, XRD) Final study project utilizing X-ray diffraction, Fourier-transform infrared spectroscopy, and spectrophotometry. Comparison of various analytical techniques to optimally determine the qualitative and quantitative presence of silica in its crystalline form within lime samples from our quarries.