T. D. Williamson Interview Questions and Answers

Sliding window leet code style

Computer vision task. Image segmentation

Q1. What was the algorithm you used in the task
Ans. 
I used the Random Forest algorithm for the task.
• Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.

• It is commonly used for classification and regression tasks.

• Example: RandomForestClassifier in scikit-learn library.
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Q2. What are metrics you can use for this task
Ans. 
Metrics for evaluating machine learning tasks
• Accuracy

• Precision

• Recall

• F1 Score

• ROC AUC

• Confusion Matrix
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Q1. A presentation of a past project with followup questions
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Q2. Some questions on text classification
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Q1. Whats ur name and what ur exp.
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Q2. How are you, about some technical question thats all
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Q1. Ash handling operation working on reliance power plant singrauli
Ans. 
Ash handling operation at Reliance Power Plant Singrauli involves the management of ash generated from the combustion of coal.
• Ash handling involves collecting, transporting, and disposing of ash generated from the combustion process.

• Different methods of ash handling include dry ash handling and wet ash handling.

• Reliance Power Plant Singrauli may use technologies like ash slurry disposal system or pneumatic conveying sy...read more
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Q2. Clinikar grinder air compressor ht pump LT pump
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Q1. What is the difference between alternating current (AC) and direct current (DC)?
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Q2. What is grounding?
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Q3. What is theNNewton's 2nd law
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Q1. What prompted your transition from the medical field to your current profession?
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Q2. Why is your permanent location required for work?
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Q1. Questions about AWS services
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Q2. Data manipulation using Python
Ans. 
Python is commonly used for data manipulation tasks due to its powerful libraries like Pandas and NumPy.
• Use Pandas library for data manipulation tasks in Python

• Pandas provides data structures like DataFrame for easy manipulation

• Use NumPy for numerical operations on data arrays

• Example: df['new_column'] = df['column1'] + df['column2']
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A good DSA question, based on array manipulation and queues. Platform was Zoom call, so you can use any online IDE.

Q1. Question related to previous job Experience
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Q2. Questions related to OOPS concepts
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Q3. Question on System Design and Fundamentals of Language.
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Q1. Past Experience
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Q2. How you tackle with challenges in less time
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Q3. How you handle complete new tech stack?
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Q4. Approach towards trivial puzzles.
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Q1. Compensation Decisions
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Q1. Hvac chiller service
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Q2. Installation
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Q1. What are the steps involved in preparing a baseline schedule?
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