-Interpreting intelligence data to evaluate trends and develop automated reports, support executive decision-making.-Performing ETL processes on client data sources and applying SQL queries to identify trends and obtain insights into operational and procedural improvement.-Developed forecast models to predict future customers and products.-Conducting data cleaning and processing using Microsoft Excel and SQL, creating a visualization in response to business challenges, and recommending solutions.-Collaborating with a cross-functional team of senior data scientists and analysts in working on a variety of complex and challenging problems.-Facilitating and orchestrating the import of new and necessary data modelling and methodology approaches by initial prototyping and testing in the project context.

• Using data mining to extract information from data sets and identify correlations and patterns • Organizing and transforming information into comprehensible structures• Using data to predict trends in the customer base and the consumer population as a whole• Performing statistical analysis of data• Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs• Preparing reports and presenting these to management or clients• Identifying and recommending new ways to save money by streamlining business processes• Monitoring data quality and removing corrupt data• Communicating with stakeholders to understand data content and business requirements

• Collecting data: I collect Data from safe or predetermined sources, before storing these data in a pre-existing data storage system, database or warehouse.• Cleaning data: I am always responsible for carrying out tasks like de-duping, standardization, and flagging missing values.• Producing reports: I use tools like MS Excel or Power BI to produce Report Visualization.• I Help to create dashboards