Results-driven Sales Analyst offering experience in analyzing and reporting on sales data in dynamic start-up environment. Well-organized and systematic professional well-versed in creating forecasts for future sales trends and informing and suggesting ways to improve profitability. In-depth knowledge of current economic trends and SWOT analysis. Ambitious individual committed to implementing business solutions to boost profitability and productivity.
Tools Technologies Used: Python, Pandas, Numpy, Plotly
-Conducted in-depth analysis of Apple iPhone sales data, leveraging Python, Pandas, NumPy, and Plotly.
- Identified and highlighted sales trends, regional variations, and key insights, improving decision-making processes.
- Increased productivity by automating data processing tasks, reducing analysis time by 30%.
Tools Technologies Used: Python, Pandas, Numpy, Seaborn, Matplotlib
- Developed data cleaning protocols that improved data quality metrics by 20%.
- Conducted statistical analysis on customer data, contributing to the refinement of product features.
- Created interactive visualizations using Tableau to present key metrics, reducing preparation time for presentations by 25%.
Tools Technologies Used: Python, Pandas, Numpy, Seaborn, Matplotlib
-Analyzed hotel cancellation trends over the previous months using Python, Pandas, Matplotlib, and Scikit-learn.
- Identified key factors contributing to cancellations based on assumptions, enhancing understanding of cancellation patterns.
-Implemented predictive modeling techniques to forecast future cancellation rates with an accuracy of 85%