Data Analysis Tools: SQL: Proficient in writing complex queries for data extraction and manipulation Python: Experienced with libraries such as Pandas and NumPy for data analysis Excel: Advanced skills including pivot tables, VLOOKUPs, and macros Data Visualization Software: Tableau: Skilled in creating interactive dashboards and visualizations for data insights Power BI: Experienced in developing reports and dashboards for business intelligence Machine Learning Frameworks: Scikit-learn: Proficient in building predictive models and applying machine learning algorithms TensorFlow: Basic understanding of building and training neural networks for deep learning applications ETL Tools: SSIS (SQL Server Integration Services): Experience in automating data workflows and data migration processes SSRS (SQL Server Reporting Services): Skilled in developing reports and visualizing data for stakeholders Backend Development: Nodejs: Proficient in building server-side applications Expressjs: Experienced in developing RESTful APIs for application integration MongoDB: Understanding of NoSQL database management Frontend Development: Reactjs: Knowledgeable in building responsive web applications JavaScript, HTML, CSS: Experienced in web development technologies Cloud Platforms: Microsoft Azure: Basic understanding of data services and cloud computing concepts