Tata Digital Interview Questions, Process, and Tips

Lag is a delay in a process, while lead is an acceleration or advancement.

• Lag refers to a delay in a process or activity, where there is a gap between the desired outcome and the actual outcome.

• Lead refers to an acceleration or advancement in a process, where the desired outcome is achieved before the actual outcome.

• For example, in project management, lag time is the delay between the completion of one task and the sta...read more

Rank, Dense_Rank, and Row_Number are functions used in SQL to assign a ranking to rows in a result set.

• Rank assigns a unique rank to each row based on the specified column values.

• Dense_Rank assigns a unique rank to each row without any gaps, even if there are ties.

• Row_Number assigns a unique sequential integer to each row in the result set.

• Example: If we have a table of students with their scores, Rank would assign ran...read more

E-commerce platform is a website or application where businesses sell products or services online.

• E-commerce platforms allow businesses to create online stores to showcase and sell their products.

• Customers can browse products, add them to cart, and make payments online through secure payment gateways.

• Popular e-commerce platforms include Shopify, WooCommerce, Magento, and BigCommerce.

I like the convenience, variety of products, and personalized recommendations on e-commerce websites. I dislike slow loading times, hidden fees, and lack of customer service.

• Convenience of shopping from home

• Wide variety of products available

• Personalized recommendations based on browsing history

• Slow loading times can be frustrating for users

• Hidden fees during checkout process can lead to dissatisfaction

• Lack of responsiv...read more

Implemented CRM system for a company, faced challenges with data migration and user adoption.

• Managed data migration from legacy systems to new CRM platform

• Provided training and support to employees to ensure successful adoption

• Addressed technical issues and customized CRM features to meet company's needs

Developed a machine learning model to predict customer churn for a telecom company.

• Collected and cleaned customer data including demographics, usage patterns, and customer service interactions.

• Used various machine learning algorithms such as logistic regression, random forest, and XGBoost to build and evaluate the model.

• Identified key factors contributing to customer churn such as contract length, monthly charges, and ...read more

A recommendation system can be built using collaborative filtering, content-based filtering, or hybrid approaches.

• Collect and preprocess data on user preferences and item attributes

• Implement collaborative filtering by recommending items based on user behavior and preferences

• Utilize content-based filtering by recommending items similar to those previously liked by the user

• Consider hybrid approaches that combine collabor...read more