Vipany Global Interview Questions and Answers

Q1. Questions about Pumps, Pumps Station Design, Hydraulic Steady State Analysis, Transient Analysis
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Q2. Hydraulic Calculations, Electromechanical items.
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Q1. Salary Negotiation
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Q1. Basics of Python, Flask, ReactJs, RestApi Development
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Q2. Python - Difference between is and ==
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Q3. React - useEffect vs useState
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Q4. Authentication in RestApi
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Q5. React - Pure Component and Higher order components
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Q1. Time you worked under pressure, with a team
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Writing Sample based on HBR

Case study on 4 day work week using RCA

Q1. What are your current responsibility in your role
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Q2. How do you face challenging situations.describe one situation.
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Q1. Fit interview with PEI
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Optimise social media marketing channels

Grow market share for a milk company

Q1. Tell me about yourself?
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Q2. Understanding of this role
Ans. 
The Project Support Specialist role involves providing administrative and logistical support to project teams to ensure successful project completion.
• Coordinate project meetings and maintain project schedules

• Assist in preparing project documentation and reports

• Track project progress and update project stakeholders

• Provide support in budget management and resource allocation

• Communicate effectively with team members and e
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Case study related to the role

Q1. Basic behavioural questions
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Q1. General basic questions
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Q1. General information about yourself
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Q2. Assessment of technical areas
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It was an hour-long coding round, asked questions on basic pandas slicing dicing, building simple regression model, handling class imbalance in SVM

Q1. Mostly resume based, went deep into projects and asked basics of ML algorithms, ML Ops and OOPS concepts
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Q1. Resume based questions, basics of Machine Learning, and small case study (problem formulation and feature brainstorming)
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Q1. Different types of ML models, how they work, differences among them. Types of performance metrics, pros and cons of them, etc.
Ans. 
Different types of ML models, how they work, differences among them, types of performance metrics, pros and cons.
• Types of ML models include linear regression, decision trees, support vector machines, neural networks, etc.

• ML models work by learning patterns from data to make predictions or decisions.

• Differences among models include complexity, interpretability, scalability, and performance.

• Performance metrics for ML mod...read more
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Develop a solution for inventory optimization of a Shoe retailer. Forecast sales and plan inventory at a store level for a national seller.

Why you want to join the company, Simple case (how do you use analytics to clear stock of a particular seasonal product after the peak season).

Q1. Tell me about yourself
Ans. 
Experienced assistant manager with a background in retail and customer service. Strong leadership and communication skills.
• Over 5 years of experience in retail management

• Managed a team of 15 employees at XYZ store

• Implemented new customer service strategies resulting in a 20% increase in customer satisfaction

• Strong communication and problem-solving skills
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Q2. Tell me about your past experience
Ans. 
I have over 5 years of experience in retail management, leading teams and driving sales.
• Managed a team of 15 sales associates at XYZ Retail Store

• Increased sales by 20% through implementing new sales strategies

• Trained new employees on company policies and procedures

• Handled customer complaints and resolved issues effectively
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Q1. What software you have worked
Ans. 
I have experience working with Microsoft Office Suite, Adobe Creative Suite, and project management software like Asana.
• Microsoft Office Suite

• Adobe Creative Suite

• Asana
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