The objective of this project is not just to create a forecasting model, but to create one that accurately predicts Iekly sales for the next month. It's not just about making guesses, but about using historical sales data to identify patterns and trends, and making predictions based on those patterns. Beyond that, I will try to analyze how the performance of each products towards the set KPI, which I will assume based on the average of sales. By doing so, I hope I can help Paragon to plan their inventory and staffing levels more effectively, ensuring that they are always prepared for changes in demand.

To achieve this goal, I will take the following steps:

• Gather historical sales data and analyze it to identify trends and patterns that could be useful in predicting future sales.
• I will select an appropriate forecasting model and train it using the historical data, adjusting the parameters as necessary to optimize performance.
• I will then evaluate the model using a holdout dataset, making any necessary adjustments to ensure its accuracy and reliability.
• Finally, I will use the trained model to forecast Iekly sales for the next month based on the most recent sales data available.

As a highly enthusiastic and goal-oriented Data Scientist with over 3 years of experience working as a project manager in diverse domains of expertise, I am confident in my ability to bring a unique combination of technical expertise and analytical skills to the table. My previous experiences have equipped me with the ability to utilize data to drive solutions and my commitment to continuous learning and growth has honed my strong organizational abilities, teamwork orientation, and exceptional problem-solving skills. With a data-driven approach and a determined mindset, I am eager to leverage my analytical mindset and technical knowledge to make a significant impact as a Data Analyst/Data Scientist. I am confident that I will excel in this field and tackle any challenges that arise while remaining focused on achieving my goals.