1.Utilized Python (Pandas, NumPy) for data cleaning, manipulation, and exploratory data analysis.2.Developed machine learning models using Python (scikit-learn, TensorFlow, Keras) to predict key business metrics.3.Created interactive visualizations and dashboards in Power BI to support decision-making processes.4.Built and maintained ETL data pipelines for efficient data processing from various sources.5.Automated repetitive tasks and workflows using Python, improving operational efficiency.6.Collaborated with cross-functional teams to translate business requirements into analytical solutions.7.Conducted research and proof-of-concept projects to explore innovative machine learning techniques.

•Perform data cleaning, transformation, and aggregation for analysis.•Develop algorithms and methodologies for data analysis.•Implement data visualization techniques for clear presentation of insights.•Design and execute test cases to ensure software quality and reliability.•Conduct functional, integration, regression, and performance testing.•Collaborate with the development team to analyze test results and troubleshoot issues.•Automate testing processes using appropriate frameworks and tools.•Write clean, maintainable, and efficient code following coding standards.•Assist in debugging and resolving software defects.•Create and maintain technical documentation for software design and testing procedures.•Collaborate with cross-functional teams for successful project delivery.•Stay updated with the latest advancements in data analysis and testing methodologies.