Data science utilizes state-of-the-art techniques and tools to sift through enormous volumes of data, find hidden patterns, glean insightful information, and aid in decision-making. Producing a lot of eggs for consumption and profit maximization is the main goal of the egg industry. Nonetheless, during the production cycle, chicken farmers face a number of difficulties that have an impact on the amount and caliber of eggs produced. These difficulties include low-quality feed, ineffective management, genetics, age during egg-laying, illness, unfavorable housing circumstances, and more. Farmers who want to produce eggs on a commercial scale need to give their hens enough room, offer them the best possible diet, and manage their temperature, cleanliness, and feeding schedules. Using a dataset on egg-laying chickens from Kaggle, this study analyzes a number of variables and draws important conclusions that can guide the development of more sensible management practices.