ChrysCapital Associate Interview Questions and Answers

Q1. GST related questions
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Q2. Income tax question
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Problem statement with some objectives type questions

Q1. Write a program
Ans. 
Program to sort an array of strings in alphabetical order
• Use a sorting algorithm like bubble sort or quicksort

• Compare adjacent strings and swap if necessary

• Repeat until the array is sorted
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Q2. Explain different way to solve a particular problem
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One way to solve a problem is by breaking it down into smaller tasks and tackling them one by one.
• Identify the main issue or goal of the problem

• Break down the problem into smaller, more manageable tasks

• Prioritize the tasks based on importance and urgency

• Create a plan or strategy to address each task

• Implement the plan and monitor progress

• Adjust the plan as needed based on feedback and results
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Q1. Tell me about yourself
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I am a dedicated and hardworking individual with a passion for learning and growth.
• I have a background in marketing and have worked in the industry for 5 years.

• I am currently pursuing a Master's degree in Business Administration to further my knowledge and skills.

• I am a team player and enjoy collaborating with others to achieve common goals.
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Online coding test having 3 questions

GD any random topic in the group

Q1. Java question, or cpp question
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Q2. Array, string, tree focused
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Q1. What are the types of Equity
Ans. 
Types of equity include common stock, preferred stock, and retained earnings.
• Common stock represents ownership in a company and typically comes with voting rights.

• Preferred stock gives shareholders priority over common stockholders in terms of dividends and liquidation.

• Retained earnings are profits that a company has kept and reinvested in the business.

• Other types of equity can include treasury stock and additional pai
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Q2. In what cases, a trade fails
Ans. 
A trade can fail due to lack of agreement on terms, insufficient funds, or technical issues.
• Lack of agreement on terms between parties

• Insufficient funds to complete the trade

• Technical issues such as system failures or errors

• Regulatory issues preventing the trade from being executed
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Q1. Ask question related java and spring boot
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Q1. Ask general questions
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Q1. Ask questions related projects
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Difficulty level - medium

Q1. How to improve model performance beyond hyperopt?
Ans. 
To improve model performance beyond hyperopt, consider ensemble methods, feature engineering, and data augmentation.
• Implement ensemble methods like bagging, boosting, or stacking to combine multiple models.

• Perform feature engineering to create new informative features or transform existing ones.

• Apply data augmentation techniques to increase the size and diversity of the training data.

• Consider using advanced algorithms ...read more
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Q2. Difference between xgboost and gbm
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XGBoost is an optimized version of Gradient Boosting Machine (GBM) with additional features and improvements.
• XGBoost is a scalable and efficient implementation of gradient boosting algorithm.

• XGBoost uses a more regularized model formalization to control overfitting.

• XGBoost supports parallel processing and can handle large datasets.

• XGBoost provides built-in regularization techniques like L1 and L2 regularization.

• XGBoost...read more
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Q3. How to tune the model performance?
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To tune model performance, adjust hyperparameters, preprocess data, increase training data, and use ensemble methods.
• Adjust hyperparameters such as learning rate, regularization, and batch size.

• Preprocess data by scaling, normalizing, or handling missing values.

• Increase training data to reduce overfitting and improve generalization.

• Use ensemble methods like bagging or boosting to combine multiple models.

• Perform cross-v...read more
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Q4. How to handle class imbalance
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Handling class imbalance involves techniques such as resampling, adjusting class weights, and using ensemble methods.
• Resampling techniques like oversampling the minority class or undersampling the majority class can help balance the classes.

• Adjusting class weights during model training can give more importance to the minority class.

• Using ensemble methods like bagging or boosting can improve the performance on imbalance...read more
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