Project Overview: 

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June 2023

In this project, I crafted SQL queries to extract pertinent information; employing Exploratory Data Analysis (EDA) and thorough data preprocessing techniques, I delved into the intricacies of sales data to gain a comprehensive understanding.

 

Leveraging the power of Python, I conducted an in-depth examination of the dataset, employing complex queries to unearth valuable insights. To effectively communicate the trends and patterns discovered during the analysis, I utilized Matplotlib and Seaborn libraries to create compelling visualizations, providing a clear and insightful representation of the data dynamics.

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Business Opportunities: 

 

• Pet Gender-Specific Products: Since more male dogs than female dogs were observed, consider launching a line of gender-specific pet products. By recognizing and catering to the gender preferences of pet owners, you can tap into a market that appreciates personalized and gender-specific offerings for their pets.

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• Pet Sales Trend Analysis Service: Recognizing that pet sales increased linearly from 2019 but dipped during 2020, there's a business opportunity to offer a pet industry trend analysis service. Provide data-driven insights and forecasts to pet product manufacturers, retailers, and service providers, helping them make informed decisions based on historical sales trends and market fluctuations. 

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Key Skills: 

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1. SQL Query Generation

2. Exploratory Data Analysis (EDA)

3. Data Preprocessing

4. Sales Data Comprehension

5. Python for Dataset Examination

6. Complex Query Execution

7. Insight Discovery

8. Data Visualization with Matplotlib

9. Patterns and Trends Showcase using Seaborn