Gautam Sharma

Data Scientist @Swiggy

Bengaluru, IN

Data Analysis: Data scientists collect and analyze vast amounts of data related to customer orders, item popularity, and user behavior. They use statistical techniques to identify trends, patterns, and correlations in the data.2. Recommendation Systems: Building and improving recommendation systems that suggest items to customers based on their preferences, previous orders, and browsing history. These recommendations aim to maximize customer satisfaction and order value.3. Market Basket Analysis: Identify item combinations that are often ordered together to improve bundling and cross-selling strategies.4. A/B Testing: Design and analyze A/B tests to determine the impact of changes to the platform, such as changes in item display, menu design, or recommendation algorithms. A data scientist would be responsible for setting up these experiments and interpreting the results.5. Personalization: Develop and refine algorithms for personalizing the user experience, including item recommendations, promotional offers, and item rankings based on individual user preferences.6. Forecasting Demand: Predict demand for specific items based on historical data, external factors (like weather or holidays), and current trends. This helps in inventory management and ensuring items are available when customers want them.7. Optimizing Search and Filters: Improve search algorithms and filters to make it easier for customers to find the items they want quickly. This includes understanding user search behavior and optimizing search results.8. Ranking Algorithms: Create and maintain algorithms for ranking and displaying items on the platform. This includes deciding which items appear at the top of search results and category pages.9. Data Visualization: Present findings and insights in a visually compelling manner, making it easier for non-technical stakeholders to understand the data.

CHANDIGARH UNIVERSITY

Bachelor of Technology - BTech