Nicolas Petit : Analyste de Données-Data Analysis Expertise

Example

Using Python's Pandas and Matplotlib libraries to analyze sales data from a retail company, identifying trends and seasonality, and visualizing these findings through intuitive graphs and charts.

Scenario

A retail company seeks to understand its sales performance over the past year to strategize for the upcoming season. Nicolas applies time series analysis to highlight peak sales periods and suggests actionable strategies.

Example

Developing a predictive model using Scikit-learn in Python to forecast inventory demand based on historical sales data, promotional activities, and external economic indicators.

Scenario

A manufacturing firm wants to optimize its inventory levels to reduce holding costs and avoid stockouts. Nicolas designs and trains a machine learning model to predict future demand, enabling the firm to make informed procurement decisions.

Example

Conducting hypothesis testing to evaluate the effectiveness of a new marketing campaign on increasing customer engagement compared to previous campaigns.

Scenario

A marketing agency aims to quantify the impact of its latest campaign. Nicolas performs A/B testing and statistical analysis to assess campaign performance, providing evidence-based recommendations for future marketing strategies.