Abdellah Jennane

- Collecting, cleaning, and processing large datasets using Python, SQL or other tools. - Create and maintain dashboards and other reporting tools. - Analyzing data to identify patterns, trends, and insights using statistical modeling techniques. - Developing predictive models to forecast trends and inform business decisions using ML algorithms. - Collaborating with cross-functional teams to develop data-driven solutions

- Digitization of business processes using automation tools (RPA, Excel VBA, MS Flow, Python, R). - Creation and maintenance of the department specific SharePoints. - Creation of data visualizations using Tableau and PowerBi. - Support in the creation of analytical, strategic PIP, (Product Improvement Program) reports. - Support in the creation of strategic and innovative presentations/reports for senior management

- Analysis of market trends in the field of electric mobility for automotive applications. - Creation of quantitative market analyses with external and internal data. Develop creative solutions for data analysis using technologies, such as Python, R, Power Automate, Power BI, and Power Query. - Presentation of the results and findings. - Assistance in preparing presentations for management.

- Apply Statistical and Machine Learning methods to specific business problems and data. - Design, develop, evaluate, and release highly innovative models elevate the customer experience and track impact over time. - Make and Review Reports, including collecting, processing, and cleaning data from different sources using SQL, Excel, and similar tools.

- Interpret data accurately and produce clear and comprehensive written analyses, dashboards, graphs, tables, etc. - Translate complex analysis into simple visualizations that can communicate key takeaways to leaders and stakeholders. - Utilize software programs such as Python, SQL, Tableau, Excel, and/or other business intelligence tools to extract needed data. - Using predictive analytics such as machine learning and data mining techniques to forecast company sales of new products.

Focus Areas: Data Science, Business Intelligence, Digital Business, E-Business, Industry 4.0, Analytics and Predictive Modelling.

Mathematics, Physics, and Computer Science

Focus Areas: Programming, Mathematics, Electronics, Project Management, Marketing, Renewable Energy, and Data Analysis.