Hidesign E Commerce Manager Interview Questions and Answers

Q1. Tell me about yourself
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Q2. What is regression
Ans. 
Regression is a statistical technique used to understand the relationship between variables and make predictions based on past data.
• Regression helps in identifying the strength and direction of the relationship between variables.

• It is used to predict the value of one variable based on the value of another variable.

• Examples include linear regression, logistic regression, and polynomial regression.
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Q1. Regarding analysis Campaign management Customer journey
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Q1. Basic javascript questions and node js questions and problem solving skills
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Q1. Architecture of the projects/products worked. integration between the two systems and in depth/ES6 features on JavaScript
Ans. 
I have worked on projects with scalable architecture and integrated multiple systems using ES6 features in JavaScript.
• Developed a microservices-based architecture for a healthcare platform using Node.js and React

• Integrated payment gateway systems with e-commerce websites using REST APIs

• Implemented ES6 features like arrow functions, template literals, and destructuring for cleaner code

• Used Webpack for bundling and Babel...read more
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Q1. Technical knowledge on architecture and AWS
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Q1. How was i managed work in previous employer. and achievements
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Q1. What is your understanding of data modeling?
Ans. 
Data modeling is the process of creating a visual representation of data structures and relationships to facilitate understanding and usage.
• Defines how data is connected and stored, e.g., ER diagrams for relational databases.

• Helps in database design, ensuring data integrity and efficiency.

• Facilitates communication between stakeholders, e.g., developers and business analysts.

• Types include conceptual, logical, and physic...read more
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Q2. What are the different types of schemas used in Power BI?
Ans. 
Power BI uses various schemas like Star, Snowflake, and Galaxy for data modeling and organization.
• Star Schema: Simplified structure with a central fact table connected to dimension tables. Example: Sales data with dimensions like Product and Customer.

• Snowflake Schema: More complex, with normalized dimension tables. Example: A product dimension split into categories and subcategories.

• Galaxy Schema: Combination of multip...read more
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Q1. What challenges did you face in your previous company, and how did you address them?
Ans. 
Faced challenges in project deadlines and team communication, resolved through agile practices and regular check-ins.
• Implemented agile methodologies to improve project timelines, resulting in a 20% increase in on-time delivery.

• Facilitated weekly stand-up meetings to enhance team communication, which reduced misunderstandings and improved collaboration.

• Addressed resource allocation issues by cross-training team members,...read more
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Q2. Which model were you working on?
Ans. 
I worked on a predictive maintenance model using machine learning to optimize equipment uptime and reduce operational costs.
• Utilized historical sensor data to predict equipment failures.

• Implemented algorithms like Random Forest and Gradient Boosting.

• Achieved a 20% reduction in downtime through proactive maintenance.

• Collaborated with cross-functional teams to integrate the model into existing systems.
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Q1. What is your current Cost to Company (CTC)?
Ans. 
My current CTC is structured to reflect my skills, experience, and contributions to the organization.
• My current CTC is $120,000 annually, which includes base salary and bonuses.

• It consists of a base salary of $100,000, with $20,000 in performance bonuses.

• Additionally, I receive benefits such as health insurance, retirement contributions, and stock options.
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Q2. What is your expected cost to company (CTC)?
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Questions answer is easy type

Aptitude test is hard

Coding language is medium type

Q1. Technical round question are easy
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Q1. What's your KRA in last company?
Ans. 
My KRA in my last company was to oversee the daily operations, manage the team, and achieve sales targets.
• Overseeing daily operations

• Managing a team

• Achieving sales targets
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Q1. Salary discussion and location maybe
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They asked questions on data structure , programming puzzles and multiple use cases