PHN Technology Interview Questions, Process, and Tips

Q1. Tell me something about your self.
Ans. 
I am a motivated and results-driven individual with a background in sales and business development.
• Background in sales and business development

• Motivated and results-driven

• Strong communication skills
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Q2. What do you know about Robotics.
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Robotics is a field that involves the design, construction, operation, and use of robots.
• Robotics combines elements of mechanical engineering, electrical engineering, and computer science.

• Robots can be used in various industries such as manufacturing, healthcare, and agriculture.

• Examples of robots include industrial robots used in factories, surgical robots used in hospitals, and autonomous drones used for delivery.

• Rob...read more
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Q3. How will you plan achieve the target.
Ans. 
I will create a detailed plan with specific goals, strategies, timelines, and resources to achieve the target.
• Set specific and measurable targets for sales growth

• Identify key markets and potential clients to focus on

• Develop a strategic plan with clear timelines and milestones

• Allocate resources effectively to support the plan

• Regularly track progress and make adjustments as needed
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Q1. Sale me this marker.
Ans. 
This marker is perfect for creating bold, vibrant lines on any surface.
• The marker features a chisel tip for both thick and thin lines.

• It is water-resistant and quick-drying, making it ideal for various projects.

• The marker comes in a pack of 12 assorted colors, perfect for artistic endeavors.

• It is also refillable, reducing waste and saving money in the long run.
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Q2. What is highest incentive that you have drawn?
Ans. 
I received a bonus of $10,000 for exceeding sales targets in my previous role.
• Exceeded sales targets by 150%

• Received recognition from senior management

• Used innovative strategies to secure new clients
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Q1. Basic details about yourself
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Q2. Previous work details
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Q1. How important is culture add to your hiring process ?
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Q2. But how can you assess culture add?
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Assessing culture add involves evaluating a candidate's potential impact on the company's culture and values.
• Evaluate the candidate's values and beliefs to see if they align with the company's culture.

• Assess the candidate's communication style and how they interact with others in a team setting.

• Consider the candidate's past experiences and how they have contributed positively to team dynamics.

• Look for examples of how t...read more
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Q3. What attracted you to this role?
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Q4. How do you measure success at work? How does a successful day at work look for you?
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Q5. How would you describe your leadership style?
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Maths aptitude & reasoning

Q1. What is machine learning ?
Ans. 
Machine learning is a subset of artificial intelligence that involves the development of algorithms and statistical models to perform specific tasks without explicit instructions.
• Machine learning is used to analyze and interpret complex data sets to identify patterns and make predictions.

• It involves training algorithms on data to learn patterns and make decisions or predictions.

• Examples include recommendation systems, ...read more
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Q2. What is linear regression ?
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Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
• Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

• It assumes a linear relationship between the independent and dependent variables.

• The goal of linear regression is to find the best-fitting line that minimi...read more
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Q3. What is cnn ?
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CNN stands for Convolutional Neural Network, a type of deep learning algorithm commonly used for image recognition and classification.
• CNNs are designed to automatically and adaptively learn spatial hierarchies of features from data.

• They use convolutional layers to filter inputs for patterns and pass the results to the next layer.

• CNNs have been successfully applied in various fields such as computer vision, natural lang
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Q4. What is decision tree ?
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A decision tree is a flowchart-like structure in which each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label.
• Decision trees are a popular machine learning algorithm used for classification and regression tasks.

• They are easy to interpret and visualize, making them useful for understanding the decision-making process.

• Each internal...read more
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Q5. What is k-mean ?
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K-means is a popular clustering algorithm used to partition data into K clusters based on similarity.
• K-means is an unsupervised machine learning algorithm.

• It aims to partition n data points into K clusters where each data point belongs to the cluster with the nearest mean.

• The algorithm iteratively assigns data points to the nearest cluster centroid and recalculates the centroid until convergence.

• K-means is sensitive to...read more
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Machine Learning and data science python

Preparing balance sheet, income statement, cash flows.

Ratio analysis on current ratio , quick ratio, fixed asset turnover ratio, debtors turnover ratio.

Q1. Opening an account in angel one app and Paytm money app.
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Making people to open an account with angel one and Paytm money app.

Create a word file and analysis the stock and observing should that stock should buy or sell .

Q1. Calculation of working capital requirements.
Ans. 
Working capital requirements are calculated by subtracting current liabilities from current assets.
• Calculate current assets (cash, accounts receivable, inventory, etc.)

• Calculate current liabilities (accounts payable, short-term debt, etc.)

• Subtract current liabilities from current assets to get working capital requirements

• Example: Current assets = $100,000, Current liabilities = $50,000, Working capital requirements = $
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