Integrated data from multiple sources, including sales databases, web analytics, and customer feedback systems.Cleaned and transformed data using Power Query to ensure accuracy and consistency.

Utilized libraries such as Pandas, NumPy, and Matplotlib to clean, analyze, and visualize large datasets.Developed interactive data dashboards using Plotly and Seaborn to facilitate data-driven decision-making.Conducted model evaluation and optimization to improve accuracy and performance.Applied data cleaning and preprocessing techniques to prepare raw data for analysis and modeling.

Sportsman Project: The primary objective of this project is to track, analyze, and promote sportsmanship among school sports teams using Excel. The project aims to gather data on various sportsmanship-related activities and behavior.Consumer Complaint Project: The primary objective of this project is to efficiently track, analyze, and address consumer complaints using Excel. The project aims to improve customer satisfaction by identifying recurring issues, monitoring resolution times, and generating actionable insights to enhance the overall customer experience.

Mobile Manufacturing Project: To streamline data management and enhance decision-making processes for a mobile manufacturing company by leveraging SQL for database creation, data analysis, and reporting.Retail Customer: To enhance the management and resolution of consumer complaints by implementing a SQL-based system for efficient data tracking, analysis, and reporting.