Yacine AMMI

As a Climate Data Analyst, my role is to leverage data to calculate and analyze Sanofi CHC's carbon footprint, with a particular focus on supply chain emissions (Scope 3). I develop innovative solutions to collect, structure, and interpret climate-related data to support strategic decision-making in sustainability. 💡 Key Responsibilities: ✅ Collecting, cleaning, and analyzing carbon-related data ✅ Developing automated data pipelines and integrating multiple data sources ✅ Creating dashboards and visualizations to track climate indicators ✅ Collaborating with cross-functional teams (HSE, Digital, Supply Chain, IT) ✅ Performing predictive modeling and scenario analysis to identify decarbonization opportunities 🌱 Objective: Actively contributing to the transition towards a more sustainable industry by harnessing the power of data. #DataAnalytics #Sustainability #CarbonFootprint #DataScience #ClimateChange #Opella #SanofiCHC

A one year apprenticeship with the following responsibilities: - Participate in the creation of an observatory for supplementary social protection for a professional branch. - Analyze and clean large datasets from various sources to ensure their quality and integrity. - Develop predictive models using machine learning algorithms for specific applications. - Assist in the design and implementation of machine learning algorithms for classification, prediction, or recommendation. - Implement data preprocessing methods, such as normalization, dimensionality reduction, and outlier handling.

As a data analyst at my current company, I leverage my analytical skills to extract insights and identify trends that inform decision-making processes across various departments. My responsibilities include: • Conduct data analysis on manufacturing processes and operations to identify areas for improvement. • Monitor and analyze key performance indicators (KPIs) to assess production efficiency. • Develop reports and dashboards to provide insights and recommendations to management. • Identify data quality issues and work with stakeholders to resolve them. • Develop and maintain statistical models for predictive analysis. • Collaborate with cross-functional teams to implement data-driven solutions.

End of studies internship at ATM Mobilis for a period of three months, the main missions consisted of: • Analyzing the situation of prepaid subscribers. • Set up a predictive model allowing the detection of customers at high risk of churn. • Develop recommendations to reduce the rate of churn.

The objective of this internship was to build a precise model to forecast the total electricity consumption in Algeria from 2021 - 2025 using Time Series Analysis.